Among the variety of multimedia formats, color images play a prominent role. A technique for lossless compression of color images is introduced. The technique is composed of first transforming a red, green, and blue i...
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Among the variety of multimedia formats, color images play a prominent role. A technique for lossless compression of color images is introduced. The technique is composed of first transforming a red, green, and blue image into luminance and chrominance domain (YCuCv). Then, the luminance channel Y is compressed with a context-based, adaptive, lossless image coding technique (CALIC). After processing the chrominance channels with a hierarchical prediction technique that was introduced earlier, Burrows-Wheeler inversion coder or JPEG 2000 is used in compression of those C-u and C-v channels. It is demonstrated that, on a wide variety of images, particularly on medical images, the technique achieves substantial compression gains over other well-known compression schemes, such as CALIC, M-CALIC, Better Portable Graphics, JPEG-LS, JPEG 2000, and the previously proposed hierarchical prediction and context-adaptive coding technique LCIC. (C) 2019 SPIE and IS&T
This paper presents a realization of integer fast lapped biorthogonal transform (FLBT) via applications of discrete cosine transform (DCT) matrices and dyadic-valued factors for lifting coefficient blocks. It is obtai...
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ISBN:
(纸本)9781479923427
This paper presents a realization of integer fast lapped biorthogonal transform (FLBT) via applications of discrete cosine transform (DCT) matrices and dyadic-valued factors for lifting coefficient blocks. It is obtained by using the block-lifting factorization as our previous work and easy matrix manipulations. The proposed FLBT has higher coding performance and fewer rounding operations than the conventional methods. The practicality of the proposed FLBT is validated through lossy-to-losslessimage compression (coding) simulation which unifies lossy and lossless image coding.
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