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Bit-depth expansion using minimum risk based classification
G. Mittal, V. Jakhetiya, S.P. Jaiswal, O.C. Au, , D. Wei
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Bit-depth expansion is an art of converting low bit-depth image into high bit-depth image. Bit-depth of an image represents the number of bits required to represent an intensity value of the image. Bit-depth expansion is an important field since it directly affects the display quality. In this paper, we propose a novel method for bit-depth expansion which uses Minimum Risk Based Classification to create high bit-depth image. Blurring and other annoying artifacts are lowered in this method. Our method gives better objective (PSNR) and superior visual quality as compared to recently developed bit-depth expansion algorithms. © 2012 IEEE.
About the journal
Journal2012 IEEE Visual Communications and Image Processing, VCIP 2012