What is the reason the test image "Cameraman" is used widely to test algorithms in image processing and image encryption?
‘Cameraman.tif’ is one of the most popular standard grayscale test images of size 256 x 256, owned by MIT. By using the standard test images, different image processing and compression algorithms can be tested and is possible to compare results, both visually and quantitatively. This image presents a range of challenges to image algorithms, such as image enhancements, image compression etc.
The image has dynamic range of pixel varies from 0 to 255 (8-bit). Minimum value is 7 and maximum value is 253. The number of occurrences and empirical probability of gray level is perfectly distributed. Most of the pixels ranges are in between 7-25 and 100 – 190. This range makes it suitable for all image enhancement algorithms.
‘Cameraman.tif’ is one of the most popular standard grayscale test images of size 256 x 256, owned by MIT. By using the standard test images, different image processing and compression algorithms can be tested and is possible to compare results, both visually and quantitatively. This image presents a range of challenges to image algorithms, such as image enhancements, image compression etc.
The image has dynamic range of pixel varies from 0 to 255 (8-bit). Minimum value is 7 and maximum value is 253. The number of occurrences and empirical probability of gray level is perfectly distributed. Most of the pixels ranges are in between 7-25 and 100 – 190. This range makes it suitable for all image enhancement algorithms.
In Image processing, the standard test images such as lena, baboon, peppers, camerman, ....ect. are used because of the features that images have, for example camerman contains edges and smooth features, baboon contains texture feature, peppers image has smooth and edges features.
As far as I'm concerned, the reason that makes Lena a standard test image is that it has smooth blocks, clear and detailed patterns, gradual changes in lights and shades. So... guess Cameraman has the same reason? :)
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