Abstract
In this paper we propose a method of compression which is both lossy and lossless. The decision regarding what amount of image will be compressed in lossy manner, and what in lossless, depends on the information obtained by the histogram of the image. Another important decision parameter is bit rate of the image. Together these two parameters enable us to divide the image in two parts for different types of compression. The results show that the difference between original and decompressed images is visually negligible. The PSNR and SSIM are comparable to JPEG...
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Bhooshan, S., Sharma, S. (2010). A Lossy/Lossless Coding Algorithm Using Histogram. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17277-9_47
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DOI: https://doi.org/10.1007/978-3-642-17277-9_47
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