Bit-Error Aware Lossless Color Image Compression

In this paper, we propose bit-error aware lossless compression algorithms for color image compression subject to bit-error rate during transmission. Each of our proposed algorithms contains three stages. The first stage converts the RGB images to YCrCb images. The next stage uses the predictive encoder to generate the residue sequence. A genetic algorithm is adopted to search the best combination of the color transformation and prediction. At the last stage, the generated residue sequence by predictive coding is encoded. Three residue encoding methods are investigated, including bi-level block coding, or interval Huffman coding or Huffman coding. To protect the bit stream from bit errors during transmission, (7,4) Hamming code is used to protect the color transformation information, predictor type and parameters, and residue coding parameters. Our experimental results validate the coding performances in terms of the compression ratio (CR) and peak signal to noise ratio (PSNR).

[1]  Xiaoyan Sun,et al.  Lossless Compression of JPEG Coded Photo Collections , 2016, IEEE Transactions on Image Processing.

[2]  Samuel D. Stearns,et al.  A bi-level coding technique for compressing broadband residue sequences , 1992, Digit. Signal Process..

[3]  Roman Starosolski,et al.  Simple fast and adaptive lossless image compression algorithm , 2007, Softw. Pract. Exp..

[4]  Li Tan,et al.  Digital Signal Processing: Fundamentals and Applications , 2013 .

[5]  Panos Nasiopoulos,et al.  This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. 1 Symmetry-Based Scalable Lossless Compression of 3D Medical Image Data , 2022 .

[6]  Li Tan,et al.  Bit-Error Aware Lossless Compression of Waveform Data , 2010, IEEE Signal Processing Letters.

[7]  Bormin Huang,et al.  Lossless Compression of Hyperspectral Images Using Clustered Linear Prediction With Adaptive Prediction Length , 2012, IEEE Geoscience and Remote Sensing Letters.

[8]  Tilo Strutz,et al.  Reversible Color Spaces without Increased Bit Depth and Their Adaptive Selection , 2015, IEEE Signal Processing Letters.

[9]  Panos Nasiopoulos,et al.  Efficient Lossless Compression of 4-D Medical Images Based on the Advanced Video Coding Scheme , 2008, IEEE Transactions on Information Technology in Biomedicine.

[10]  Nam Ik Cho,et al.  Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression , 2014, IEEE Transactions on Image Processing.

[11]  Samuel D. Stearns,et al.  Lossless compression of waveform data for efficient storage and transmission , 1993, IEEE Trans. Geosci. Remote. Sens..

[12]  Li Tan,et al.  Bit-Error Aware Lossless Image Compression , 2011 .

[13]  Shu-Ching Chen,et al.  A Lossless Compression Method for Medical Image Sequences Using JPEG-LS and Interframe Coding , 2009, IEEE Transactions on Information Technology in Biomedicine.

[14]  M. A. Khanesar,et al.  A novel binary particle swarm optimization , 2007, 2007 Mediterranean Conference on Control & Automation.