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Shape Adaptive All Phase Biorthogonal Transform and Its Application in Image Coding

Baochen Jiang1,2, Aiping Yang1, Chengyou Wang2, and Zhengxin Hou1
1.School of Electronic Information Engineering, Tianjin University
2.School of Mechanical, Electrical and Information Engineering, Shandong University

Abstract—In this paper shape adaptive all phase biorthogonal transform (SA-APBT) for coding arbitrarily shaped image segments is proposed. The proposed transform can be used in region-based image compression instead of the shape adaptive discrete cosine transform (SA-DCT). Region-based image coding method is made up of three procedures: image segmentation, contour coding and texture coding. An image is divided into region-of-interest (ROI) and background area by image segmentation. Both areas are encoded and decoded independently. Experimental results on test images show that compared with SA-DCT at the same bit rates, the PSNRs and visual effects of reconstructed images based on SA-APBT are comparable to the one based on SA-DCT especially at low bit rates. And the SA-APBT transform coefficients are quantized uniformly, while the SA-DCT transform coefficients are quantized according to different quantization steps in the quantization table. So the quantization based on SA-APBT is simpler and computational complexity is reduced.

Index Terms—image coding, discrete cosine transform (DCT), all phase biorthogonal transform (APBT), shape adaptive, region-of-interest (ROI)

Cite: Baochen Jiang, Aiping Yang, Chengyou Wang, and Zhengxin Hou, "Shape Adaptive All Phase Biorthogonal Transform and Its Application in Image Coding," Journal of Communications, vol. 8, no. 5, pp. 330-336, 2013. Doi: 10.12720/jcm.8.5.330-336