Bit-plane image coding algorithms based on compressed sensing

Guangchun Gao; Cui Zhang; Shengying Zhao; Kai Xiong; Lina Shang

doi:10.1117/12.946107

2 June 2012 Bit-plane image coding algorithms based on compressed sensing

Guangchun Gao, Cui Zhang, Shengying Zhao, Kai Xiong, Lina Shang

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833416 (2012) https://doi.org/10.1117/12.946107
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

Based on compressed sensing, a new bit-plane image coding method was presented. Due to different important for different image bit-plane, the new method is robust to bit error, and has the advantages of simple structure and easy software and hardware implementation. Because the values of the image bit-plane are 1 or zero, one order difference matrix was chosen as sparse transform matrix, and the simulation show that it has more sparse presentations. For the general 8-bit images, its have 8 Bit-plane, eighth Bit-plane is Most Significant Bit-plane, so we can adopt more measure vectors for reconstruction image precision. At the same time, this kind of image codec scheme can meet many application demands. The method partitioned an image into 8 bit-plane, and made the orthonormal transform using the one order difference matrix for each bit plane, and then formed multiple descriptions after using random measurements of each bit plane. At decoding end, it reconstructed the original image approximately or exactly with the received bit streams by using the OMP algorithms. The proposed method can construct more descriptions with lower complexity because the process of bit plane data measuring is simple and easy to hardware realize. Experiment results show that the proposed method can reconstruction image with different precision and it can easily generate more descriptions.

Citation Download Citation

Guangchun Gao, Cui Zhang, Shengying Zhao, Kai Xiong, and Lina Shang "Bit-plane image coding algorithms based on compressed sensing", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833416 (2 June 2012); https://doi.org/10.1117/12.946107

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