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We propose a new approach for image compression in digital cameras, where thegoal is to achieve better quality at a given rate by using the characteristicsof a Bayer color filter array. Most digital cameras produce color images byusing a single CCD plate, so that each pixel in an image has only one colorcomponent and therefore an interpolation method is needed to produce a fullcolor image. After the image processing stage, in order to reduce the memoryrequirements of the camera, a lossless or lossy compression stage oftenfollows. But in this scheme, before decreasing redundancy through compression,redundancy is increased in an interpolation stage. In order to avoid increasingthe redundancy before compression, we propose algorithms for image compressionin which the order of the compression and interpolation stages is reversed. Weintroduce image transform algorithms, since non interpolated images cannot bedirectly compressed with general image coders. The simulation results show thatour algorithm outperforms conventional methods with various color interpolationmethods in a wide range of compression ratios. Our proposed algorithm providesnot only better quality but also lower encoding complexity because the amountof luminance data used is only half of that in conventional methods.

A Novel Approach for Compression of Images Captured using Bayer Color Filter Arrays