Embedded color image coding using context-modeled wavelet difference reduction

A novel embedded wavelet coding algorithm for color image and video compression is proposed. A color image is first represented in YUV color space. The discrete wavelet transform of each of the three color components is then calculated separately. The luminance component is compressed with context-modeled wavelet difference reduction (CM-WDR). The chrominance components are compressed using the contextual information obtained during the coding of the luminance component. Our experimental results show that the proposed algorithm performs better than two latest wavelet-based benchmark schemes, namely CEZW and JPEG2000, in terms of color SNR and component PSNR.

[1]  Mrinal K. Mandal,et al.  Context-modeled wavelet difference reduction coding based on fractional bit-plane partitioning , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[2]  Codingwith SPIHTBeong-Jo Kim,et al.  Low-Delay Embedded 3-D Wavelet Color Video , 1998 .

[3]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[4]  Edward J. Delp,et al.  Color image compression using an embedded rate scalable approach , 1997, Proceedings of International Conference on Image Processing.

[5]  David Taubman,et al.  Target Market , 2019, Business Development.

[6]  Michael W. Marcellin,et al.  An overview of JPEG-2000 , 2000, Proceedings DCC 2000. Data Compression Conference.

[7]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[8]  A. Netravali,et al.  Luminance Adaptive Coding of Chrominance Signals , 1979, IEEE Trans. Commun..

[9]  Jerome M. Shapiro,et al.  Embedded image coding using zerotrees of wavelet coefficients , 1993, IEEE Trans. Signal Process..