Lossless Compression of Color Medical Retinal Images
نویسندگان
چکیده
We analyzed the performance of several lossless image compression algorithms, namely Lossless JPEG, JPEGLS, JPEG2000, PNG, and CALIC on a large set of medical retinal images organized into groups according to capturing conditions and retinal region. Overall we found JPEG-LS to be the best performing algorithm when we consider both compression speed and compression ratio. Although we observed some variance among groups JPEG-LS consistently obtains both the speed and the ratio close to the best of all tested algorithms. We also found that the compression ratios may be further improved by applying (reversible) color space transforms and histogram packing transforms to the retinal images before compressing them. However, for certain images color transforms may produce worse compression ratios.
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