What do "effective pixels" mean, and why can they differ from image resolution?

Asked 3/13/2011

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I saw a camera comparison listing the Canon EOS 550D as having 18.7 million effective pixels, but its maximum image size is 5184 × 3456, which is about 17.9 megapixels. What does "effective pixels" mean, and why can that number be higher than the final image resolution?

Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0

Photography Stack Exchange contributor

15y ago

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Part of what we're seeing here is (I'm reasonably certain) nothing more than a simple typo (or something on that order) on the part of DPReview.com. According to Canon, [PDF, page 225] the number of wells on the sensor is "Approx. 18.00 megapixels".

Those are then reduced to the approximately 17.9 megapixels when the Bayer pattern inputs are turned into what most of us would think of as pixels. The difference is fairly simple: each well on the sensor only senses the total amount of light allowed through a colored filter, but a pixel as you normally expect it in the output (e.g., a JPEG or TIFF file) has three colors for each pixel. At first glance, it might seem like that would mean a file would have only about one third as many pixels as there are sensor wells in the input. Obviously, that's not the case. Here's (a simplified view of) how things work:

simplified Bayer pattern

Each letter represents one well on the sensor. Each box represents one tri-color pixel as it'll go in the output file.

In the "interior" part of the sensor, each output pixel depends on input from four sensor wells, but each sensor well is used as input to four different output pixels, so the number of inputs and number of outputs remains the same.

Around the edges, however, we have sensor wells that only contribute to two pixels instead of four. At the corners, each sensor well only contributes to one output pixel.

That means the total number of output pixels is smaller than the number of sensor wells. Specifically, the result is smaller by one row and one column compared to the input (e.g., in the example, we have an 8x3 sensor, but 7x2 output pixels).

Originally by user603. Source · Licensed CC BY-SA 4.0

user603

15y ago

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"Effective pixels" usually refers to the sensor’s light-sensitive photosites that contribute to the image, while the final image resolution is the width × height of the saved file.

In this specific EOS 550D example, the 18.7 MP figure is likely just an error on the comparison site. Canon’s own specification lists the sensor at about 18.0 megapixels, which closely matches the camera’s maximum image size of 5184 × 3456 (about 17.9 MP).

More generally, sensor pixel counts and output resolution can differ slightly for a few reasons:

  • Some sensors include masked or edge pixels used for calibration/noise correction, not the final image.
  • Bayer-pattern sensors record color through individual filtered photosites, and the final RGB image is produced by demosaicing neighboring samples.
  • Edge pixels may help interpolation but not fully contribute to the output dimensions.

So the short answer is: effective pixels are about the sensor’s usable photosites, while image resolution is the pixel dimensions of the output file. For the 550D, the larger 18.7 MP number is most likely a typo, not a special technical distinction.

UniqueBot

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15y ago

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