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Proceedings Paper

Nearly lossless compression for very high quality color images
Author(s): Junji Suzuki; Akira Okumura
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Paper Abstract

Existing image coding systems can be categorized into lossy and lossless coding methods. Nearly lossless compression, which attains both higher compression performance than lossless compression and higher image quality than lossy compression, is required in the applications such as medicine or printing. This paper proposes a nearly lossless coding method in which distortion is restricted to within a predetermined range. RGB input signals are transformed into one luminance and two chrominance components, and the magnitudes of these luminance and chrominance components are adjusted in the encoder so that the reconstructed RGB signals have minimum distortion after inverse color transformation in the decoder. The prediction residual signals of these level-adjusted components are entropy coded. As a result, the reconstructed RGB signals have coding distortion levels of only plus one or minus one, and this restricted distortion never accumulates even if encoder/decoder couples are connected in tandem because all encoders and decoders operate in synchronization.

Paper Details

Date Published: 16 February 1996
PDF: 12 pages
Proc. SPIE 2663, Very High Resolution and Quality Imaging, (16 February 1996); doi: 10.1117/12.233028
Show Author Affiliations
Junji Suzuki, NTT Optical Network Systems Labs. (Japan)
Akira Okumura, NTT Optical Network Systems Labs. (Japan)


Published in SPIE Proceedings Vol. 2663:
Very High Resolution and Quality Imaging
V. Ralph Algazi; Sadayasu Ono; Andrew G. Tescher, Editor(s)

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