Shopping on line can be easy, simple and save you lots of money. It can also take a lot of your time, frustrate you, and result in unwanted purchases. Now the same can be said for regular high street shopping, but with the vast opportunity presented by the Internet it will pay you to spend a few minutes reading this and understanding how to better optimize your Pixels shopping experience:

1. Compare - without doubt the biggest advantage that the Pixels offers shoppers today is the ability to compare thousands of Pixels at a time. This is a great thing, but not necessarily all the time! Too much can be daunting at times so take advantage of the great comparison sites and where possible let them do the hard work for you.

2. Research - if it has been said it will be on the internet. Ignorance is no longer a justifiable reason for buying the wrong thing. Take the time to research in detail everything that you could possible want to know about

3. Testimonials - don't know anybody that has bought a Pixels? Wrong! If the Pixels is good the internet will let you know. Use the Internet as a friend and get testimonials before you buy.

4. Questions - Got a question about Pixels then search the Forums, FAQ's, Blogs etc. Don't be afraid to ask .....

5. Reputation - Never heard of the company selling Pixels? Don't worry, no reason why you should know every company in the world, but you know someone that does! Use the internet to find out what people are saying about Pixels and build up a picture of their reputation for sales, returns, customer service, delivery etc.

6. Returns - still worried that even after all of the above your Pixels wont be what you want? Check out the returns policy. There is so much competition now that someone, somewhere is bound to offer the terms that you are comfortable with.

7. Feedback - happy with your Pixels then let people know, after all you are depending on others people input in your buying decision, so why not give a little back.

8. Security - check for the yellow padlock on the Pixels site before you buy, and the s after http:/ /i.e. https:// = a secure site

9. Contact - got a question about Pixels, or want to leave a comment then check out the sites contact page. Reputable companies have them and respond.

10. Payment - ready to pay for your Pixels, then use your credit card or PayPal! Be aware of companies that don't accept them, there may be genuine reasons but given the huge amount of choice you have when buying online there is no reason at all not to buy via credit card or PayPal.



A pixel (short for picture element, using the common abbreviation "pix" for "pictures") is a single point in a graphic image. Each such information element is not really a dot, nor a square, but an abstract sample (signal). With care, pixels in an image can be reproduced at any size without the appearance of visible dots or squares; but in many contexts, they are reproduced as dots or squares and can be visibly distinct when not fine enough. The Intensity (physics) of each pixel is variable; in color systems, each pixel has typically three or four dimensions of variability such as RGB color model, or CMYK color model.

Technical

A pixel is generally thought of as the smallest complete sample of an image. The definition is highly context sensitive; for example, we can speak of printed pixels in a page, or pixels carried by electronic signals, or represented by digital values, or pixels on a display device, or pixels in a digital camera (photosensor elements). This list is not exhaustive, and depending on context there are several terms that are synonymous in particular contexts, e.g. pel, sample, byte, bit, dot, spot, etc. We can also speak of pixels in the abstract, or as a unit of measure, in particular when using pixels as a measure of resolution, e.g. 2400 pixels per inch, 640 pixels per line, or spaced 10 pixels apart.

The measures dots per inch (dpi) and pixels per inch (ppi) are sometimes used interchangeably, but have distinct meanings especially in the printer field, where dpi is a measure of the printer's resolution of dot printing (e.g. ink droplet density). For example, a high-quality inkjet image may be printed with 200 ppi on a 720 dpi printer.

The more pixels used to represent an image, the closer the result can resemble the original. The number of pixels in an image is sometimes called the image resolution, though resolution has a more specific definition. Pixel counts can be expressed as a single number, as in a "three-megapixel" digital camera, which has a nominal three million pixels, or as a pair of numbers, as in a "640 by 480 display", which has 640 pixels from side to side and 480 from top to bottom (as in a VGA display), and therefore has a total number of 640 × 480 = 307,200 pixels or 0.3 megapixels.

The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image.

In computing, an image composed of pixels is known as a bitmap or a raster graphics. The word raster originates from halftone printing technology, and has been widely used to describe raster scan patterns.

Display pixel size The size of a display pixel is determined by the screen resolution and diagonal size of the monitor displaying it.Some Examples:



Native vs. logical pixels in LCDs Modern computer monitors are expected to display a range of resolutions (this was not always so, even with Cathode ray tube). Displays capable of truly displaying only one resolution must first generate a native-resolution signal from any signal in a non-native resolution.

Modern computer LCDs are designed with a native resolution which refers to the perfect match between pixels and Triad (computers). CRT displays also use native red-green-blue phosphor triads, but these are not coincident with logical pixels.

The native resolution will produce the sharpest picture capable from the display. However, since the user can adjust the resolution, the monitor must be capable of displaying other resolutions.Non-native resolutions have to be supported by approximate resampling in the LCD controller, using interpolation algorithms (in CRTs, the physical system interpolates between the logical pixels and the physical phosphors). This often causes the screen to look somewhat jagged or blurry (especially with resolutions that are not even multiples of the native one). For example, a display with a native resolution of 1280×1024 will look best set at 1280×1024 resolution, will display 800×600 adequately by drawing each pixel with more physical triads, but will be unable to display in 1600×1200 sharply due to the lack of physical triads.

Pixels can be either rectangular or square. Pixels on computer monitors are usually square, but pixels used in some digital video formats have non-square Pixel aspect ratio, such as those used in the PAL and NTSC variants of the CCIR 601 digital video standard, and the corresponding anamorphic widescreen formats.

Each pixel in a monochrome image has its own value, a correlate of perceptual brightness or physical intensity. A numeric representation of zero usually represents black, and the maximum value possible represents white. For example, in an eight-bit image, the maximum unsigned value that can be stored by eight bits is 255, so this is the value used for white.

In a color image, each pixel can be described using its hue, saturation, and value (HSV color space), but is usually represented instead as the red, green, and blue intensities (in its RGB color space).

Bits per pixel The number of distinct colors that can be represented by a pixel depends on the number of bits per pixel (bpp). The maximum number of colors a pixel can take can be found by taking two to the power of the color depth. For example, common values are

Images composed of 256 colors or fewer are usually stored in the computer's video memory in packed pixel (chunky) format, or sometimes in Planar (computer graphics) format, where a pixel in memory is an index into a list of colors called a Palette (computing). These modes are therefore sometimes called indexed color modes. While only 256 colors are displayed at once, those 256 colors are picked from a much larger palette, typically of 16 million colors. Changing the values in the palette permits a kind of animation effect. The animated startup logos of Windows 95 and Windows 98 are probably the best-known example of this kind of animation. On older systems, 4 bpp (16 colors) was common.

For depths larger than 8 bits, the number is the sum of the bits devoted to each of the three RGB (red, green and blue) components. A 16-bit depth is usually divided into five bits for each of red and blue, and six bits for green, as most human eyes are more sensitive to green than the other two primary colors. For applications involving transparency, the 16 bits may be divided into five bits each of red, green, and blue, with one bit left for transparency. A 24-bit depth allows 8 bits per component. On some systems, 32-bit depth is available: this means that each 24-bit pixel has an extra 8 bits to describe its opacity (for purposes of combining with another image).

When an image file is displayed on a screen, the number of bits per pixel is expressed separately for the image file format and for the display. Some raster file formats have a greater bit-depth capability than others. The GIF format, for example, has a maximum depth of 8 bits, while TIFF files can handle 48-bit pixels. There are no consumer display adapters that can output 48 bits of color, so this depth is typically used for specialized professional applications with film scanners, computer printers and very expensive Workstation. Such files are only rendering (computer graphics) on screen with 24-bit depth on most computers.

Subpixels dots in a color CRT display bear no relation to pixels or subpixelsMany display and image-acquisition systems are, for various reasons, not capable of displaying or sensing the different color channels at the same site. And hence the pixel grid is divided into single colored regions which contribute to the perceived color when viewed at a distance.

In many displays these arranged in regular grids and are separately addressable picture elements of the display in there own right. Common display technology includes LCD, LED and plasma displays. Though these do fit the definition of pixels they have come to be known as subpixels, as in many cases it is more useful to consider these in the groups of niegbouring elements required to produce the full range of colors the display is cabable of.

For example, LCDs typically divide each pixel horizontally into three subpixels. Most LED displays divide each pixel into four subpixels; one red, one green, and two blue. Most digital camera sensors also use subpixels, by using colored filters.

Note that while Cathode Ray Tube displays also use a red-green-blue masked phosphor areas, dictated by a mesh grid called the shadow mask, these can not be aligned with the images displayed, and therefore can not be utilised for sub-pixel rendering as they are not addressable. These phosphor areas can be only partially lit though, should the beam illumating them change intensity part way though a sweep, and hence these displays can and do display details at a higher resolution than that of the shadow mask.

For systems with subpixels, two different approaches can be taken: *The subpixels can be ignored, with pixels being treated as the smallest addressable imaging element; or *The subpixels can be included in rendering calculations, which requires more analysis and processing time, but can produce apparently superior images in some cases.

The latter approach has been used to increase the apparent resolution of color displays. The technique, referred to as subpixel rendering, uses knowledge of pixel geometry to manipulate the three colored sub-pixels separately, and is most effective with flat-panel displays set to their native resolutions (because the pixel geometry of such displays is usually fixed and predictable). This works best with black-on-white images and thus is often used to make text sharper and easier to read. An added bonus of this effect is that while it does not work on CRTs, it still produces an anti-aliasing effect, and thus still improves image quality to some extent.

Megapixel A megapixel is 1 million pixels, and is a term used not only for the number of pixels in an image, but also to express the number of sensor elements of digital cameras or the number of display elements of computer displays. For example, a camera with an array of 2048×1536 sensor elements is commonly said to have "3.1 megapixels" (2048 × 1536 = 3,145,728).

Digital cameras use photosensitive electronics, either charge-coupled device (CCD) or CMOS (CMOS) image sensors, consisting of a large number of single sensor elements, each of which records a measured intensity level. In most digital cameras, the sensor array is covered with a patterned color filter mosaic having red, green, and blue regions in the Bayer filter arrangement, so that each sensor element can record the intensity of a single primary color of light. The camera interpolates the color information of neighboring sensor elements, through a process called demosaicing, to create the final image. These sensor elements are often called "pixels", even though they only record 1 channel (only red, or green, or blue) of the final color image. Thus, a so-called N-megapixel camera that produces an N-megapixel image provides only one-third of the information that an image of the same size could get from a scanner. Thus, certain color contrasts may look fuzzier than others, depending on the allocation of the primary colors (green has twice as many elements as red or blue in the Bayer arrangement).

In contrast to conventional image sensors, the Foveon X3 sensor uses three layers of sensor elements, so that it detects red, green, and blue intensity at each array location. This structure eliminates the need for de-mosaicing and eliminates the associated image artifacts, such as color blurring around sharp edges. Citing the precedent established by mosaic sensors, Foveon counts each single-color sensor element as a pixel, even though the native output file size has only one pixel per three camera pixels. With this method of counting, an N-megapixel Foveon X3 sensor therefore captures the same amount of information as an N-megapixel Bayer-mosaic sensor, though it packs the information into fewer image pixels, without any interpolation.

Standard display resolutions Standard display resolutions include:

Similar concepts Several other types of objects derived from the idea of the pixel, such as the voxel (volume element), texel (graphics) (texture element) and surfel (surface element), have been created for other computer graphics and image processing uses.

Etymology The word pixel was first published in 1965 by Frederic C. Billingsley of Jet Propulsion Laboratory, to describe the picture elements of video images from space probes to the moon and Mars; but he did not coin the term himself, and the person he got it from (Keith E. McFarland at the Link Division of General Precision in Palo Alto) does not know where he got it, but says it was "in use at the time" (circa 1963).

The word is a combination of picture and element, via pix. Pix was first coined in 1932 in a Variety Magazine headline, as an abbreviation for the word pictures, in reference to movies; by 1938 pix was being used in reference to still pictures by photojournalists.

The concept of a picture element dates to the earliest days of television, for example as Bildpunkt (the German word for pixel, literally picture point) in the 1888 German patent of Paul Nipkow. According to various etymologies, the earliest publication of the term picture element itself was in Wireless World magazine in 1927, though it had been used earlier in various U.S. patents filed as early as 1911.

Some authors explain pixel as picture cell, as early as 1972.

A detailed history of pixel and picture element, with references, is linked #External links.

See also

References External links





A pixel (short for picture element, using the common abbreviation "pix" for "pictures") is a single point in a graphic image. Each such information element is not really a dot, nor a square, but an abstract sample (signal). With care, pixels in an image can be reproduced at any size without the appearance of visible dots or squares; but in many contexts, they are reproduced as dots or squares and can be visibly distinct when not fine enough. The Intensity (physics) of each pixel is variable; in color systems, each pixel has typically three or four dimensions of variability such as RGB color model, or CMYK color model.

Technical

A pixel is generally thought of as the smallest complete sample of an image. The definition is highly context sensitive; for example, we can speak of printed pixels in a page, or pixels carried by electronic signals, or represented by digital values, or pixels on a display device, or pixels in a digital camera (photosensor elements). This list is not exhaustive, and depending on context there are several terms that are synonymous in particular contexts, e.g. pel, sample, byte, bit, dot, spot, etc. We can also speak of pixels in the abstract, or as a unit of measure, in particular when using pixels as a measure of resolution, e.g. 2400 pixels per inch, 640 pixels per line, or spaced 10 pixels apart.

The measures dots per inch (dpi) and pixels per inch (ppi) are sometimes used interchangeably, but have distinct meanings especially in the printer field, where dpi is a measure of the printer's resolution of dot printing (e.g. ink droplet density). For example, a high-quality inkjet image may be printed with 200 ppi on a 720 dpi printer.

The more pixels used to represent an image, the closer the result can resemble the original. The number of pixels in an image is sometimes called the image resolution, though resolution has a more specific definition. Pixel counts can be expressed as a single number, as in a "three-megapixel" digital camera, which has a nominal three million pixels, or as a pair of numbers, as in a "640 by 480 display", which has 640 pixels from side to side and 480 from top to bottom (as in a VGA display), and therefore has a total number of 640 × 480 = 307,200 pixels or 0.3 megapixels.

The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image.

In computing, an image composed of pixels is known as a bitmap or a raster graphics. The word raster originates from halftone printing technology, and has been widely used to describe raster scan patterns.

Display pixel size The size of a display pixel is determined by the screen resolution and diagonal size of the monitor displaying it.Some Examples:



Native vs. logical pixels in LCDs Modern computer monitors are expected to display a range of resolutions (this was not always so, even with Cathode ray tube). Displays capable of truly displaying only one resolution must first generate a native-resolution signal from any signal in a non-native resolution.

Modern computer LCDs are designed with a native resolution which refers to the perfect match between pixels and Triad (computers). CRT displays also use native red-green-blue phosphor triads, but these are not coincident with logical pixels.

The native resolution will produce the sharpest picture capable from the display. However, since the user can adjust the resolution, the monitor must be capable of displaying other resolutions.Non-native resolutions have to be supported by approximate resampling in the LCD controller, using interpolation algorithms (in CRTs, the physical system interpolates between the logical pixels and the physical phosphors). This often causes the screen to look somewhat jagged or blurry (especially with resolutions that are not even multiples of the native one). For example, a display with a native resolution of 1280×1024 will look best set at 1280×1024 resolution, will display 800×600 adequately by drawing each pixel with more physical triads, but will be unable to display in 1600×1200 sharply due to the lack of physical triads.

Pixels can be either rectangular or square. Pixels on computer monitors are usually square, but pixels used in some digital video formats have non-square Pixel aspect ratio, such as those used in the PAL and NTSC variants of the CCIR 601 digital video standard, and the corresponding anamorphic widescreen formats.

Each pixel in a monochrome image has its own value, a correlate of perceptual brightness or physical intensity. A numeric representation of zero usually represents black, and the maximum value possible represents white. For example, in an eight-bit image, the maximum unsigned value that can be stored by eight bits is 255, so this is the value used for white.

In a color image, each pixel can be described using its hue, saturation, and value (HSV color space), but is usually represented instead as the red, green, and blue intensities (in its RGB color space).

Bits per pixel The number of distinct colors that can be represented by a pixel depends on the number of bits per pixel (bpp). The maximum number of colors a pixel can take can be found by taking two to the power of the color depth. For example, common values are

Images composed of 256 colors or fewer are usually stored in the computer's video memory in packed pixel (chunky) format, or sometimes in Planar (computer graphics) format, where a pixel in memory is an index into a list of colors called a Palette (computing). These modes are therefore sometimes called indexed color modes. While only 256 colors are displayed at once, those 256 colors are picked from a much larger palette, typically of 16 million colors. Changing the values in the palette permits a kind of animation effect. The animated startup logos of Windows 95 and Windows 98 are probably the best-known example of this kind of animation. On older systems, 4 bpp (16 colors) was common.

For depths larger than 8 bits, the number is the sum of the bits devoted to each of the three RGB (red, green and blue) components. A 16-bit depth is usually divided into five bits for each of red and blue, and six bits for green, as most human eyes are more sensitive to green than the other two primary colors. For applications involving transparency, the 16 bits may be divided into five bits each of red, green, and blue, with one bit left for transparency. A 24-bit depth allows 8 bits per component. On some systems, 32-bit depth is available: this means that each 24-bit pixel has an extra 8 bits to describe its opacity (for purposes of combining with another image).

When an image file is displayed on a screen, the number of bits per pixel is expressed separately for the image file format and for the display. Some raster file formats have a greater bit-depth capability than others. The GIF format, for example, has a maximum depth of 8 bits, while TIFF files can handle 48-bit pixels. There are no consumer display adapters that can output 48 bits of color, so this depth is typically used for specialized professional applications with film scanners, computer printers and very expensive Workstation. Such files are only rendering (computer graphics) on screen with 24-bit depth on most computers.

Subpixels dots in a color CRT display bear no relation to pixels or subpixelsMany display and image-acquisition systems are, for various reasons, not capable of displaying or sensing the different color channels at the same site. And hence the pixel grid is divided into single colored regions which contribute to the perceived color when viewed at a distance.

In many displays these arranged in regular grids and are separately addressable picture elements of the display in there own right. Common display technology includes LCD, LED and plasma displays. Though these do fit the definition of pixels they have come to be known as subpixels, as in many cases it is more useful to consider these in the groups of niegbouring elements required to produce the full range of colors the display is cabable of.

For example, LCDs typically divide each pixel horizontally into three subpixels. Most LED displays divide each pixel into four subpixels; one red, one green, and two blue. Most digital camera sensors also use subpixels, by using colored filters.

Note that while Cathode Ray Tube displays also use a red-green-blue masked phosphor areas, dictated by a mesh grid called the shadow mask, these can not be aligned with the images displayed, and therefore can not be utilised for sub-pixel rendering as they are not addressable. These phosphor areas can be only partially lit though, should the beam illumating them change intensity part way though a sweep, and hence these displays can and do display details at a higher resolution than that of the shadow mask.

For systems with subpixels, two different approaches can be taken: *The subpixels can be ignored, with pixels being treated as the smallest addressable imaging element; or *The subpixels can be included in rendering calculations, which requires more analysis and processing time, but can produce apparently superior images in some cases.

The latter approach has been used to increase the apparent resolution of color displays. The technique, referred to as subpixel rendering, uses knowledge of pixel geometry to manipulate the three colored sub-pixels separately, and is most effective with flat-panel displays set to their native resolutions (because the pixel geometry of such displays is usually fixed and predictable). This works best with black-on-white images and thus is often used to make text sharper and easier to read. An added bonus of this effect is that while it does not work on CRTs, it still produces an anti-aliasing effect, and thus still improves image quality to some extent.

Megapixel A megapixel is 1 million pixels, and is a term used not only for the number of pixels in an image, but also to express the number of sensor elements of digital cameras or the number of display elements of computer displays. For example, a camera with an array of 2048×1536 sensor elements is commonly said to have "3.1 megapixels" (2048 × 1536 = 3,145,728).

Digital cameras use photosensitive electronics, either charge-coupled device (CCD) or CMOS (CMOS) image sensors, consisting of a large number of single sensor elements, each of which records a measured intensity level. In most digital cameras, the sensor array is covered with a patterned color filter mosaic having red, green, and blue regions in the Bayer filter arrangement, so that each sensor element can record the intensity of a single primary color of light. The camera interpolates the color information of neighboring sensor elements, through a process called demosaicing, to create the final image. These sensor elements are often called "pixels", even though they only record 1 channel (only red, or green, or blue) of the final color image. Thus, a so-called N-megapixel camera that produces an N-megapixel image provides only one-third of the information that an image of the same size could get from a scanner. Thus, certain color contrasts may look fuzzier than others, depending on the allocation of the primary colors (green has twice as many elements as red or blue in the Bayer arrangement).

In contrast to conventional image sensors, the Foveon X3 sensor uses three layers of sensor elements, so that it detects red, green, and blue intensity at each array location. This structure eliminates the need for de-mosaicing and eliminates the associated image artifacts, such as color blurring around sharp edges. Citing the precedent established by mosaic sensors, Foveon counts each single-color sensor element as a pixel, even though the native output file size has only one pixel per three camera pixels. With this method of counting, an N-megapixel Foveon X3 sensor therefore captures the same amount of information as an N-megapixel Bayer-mosaic sensor, though it packs the information into fewer image pixels, without any interpolation.

Standard display resolutions Standard display resolutions include:

Similar concepts Several other types of objects derived from the idea of the pixel, such as the voxel (volume element), texel (graphics) (texture element) and surfel (surface element), have been created for other computer graphics and image processing uses.

Etymology The word pixel was first published in 1965 by Frederic C. Billingsley of Jet Propulsion Laboratory, to describe the picture elements of video images from space probes to the moon and Mars; but he did not coin the term himself, and the person he got it from (Keith E. McFarland at the Link Division of General Precision in Palo Alto) does not know where he got it, but says it was "in use at the time" (circa 1963).

The word is a combination of picture and element, via pix. Pix was first coined in 1932 in a Variety Magazine headline, as an abbreviation for the word pictures, in reference to movies; by 1938 pix was being used in reference to still pictures by photojournalists.

The concept of a picture element dates to the earliest days of television, for example as Bildpunkt (the German word for pixel, literally picture point) in the 1888 German patent of Paul Nipkow. According to various etymologies, the earliest publication of the term picture element itself was in Wireless World magazine in 1927, though it had been used earlier in various U.S. patents filed as early as 1911.

Some authors explain pixel as picture cell, as early as 1972.

A detailed history of pixel and picture element, with references, is linked #External links.

See also

References External links





 

Pixels



 
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