Color Image Coding Based on Shape-Adaptive All Phase Biorthogonal Transform

作     者：Wang, Xiaoyan Wang, Chengyou Zhou, Xiao Yang, Zhiqiang 

作者机构：Shandong Univ Sch Mech Elect & Informat Engn Weihai Peoples R China Integrated Elect Syst Lab Co Ltd Jinan Peoples R China 

出 版 物：《JOURNAL OF INFORMATION PROCESSING SYSTEMS》 (J. Inf. Process. Syst.)

年 卷 期：2017年第13卷第1期

页      面：114-127页

核心收录：

基　　金：National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) Natural Science Foundation of Shandong Province, ChinaNatural Science Foundation of Shandong Province [ZR2015PF004] Research Award Fund for Outstanding Young and Middle-Aged Scientists of Shandong Province, China [BS2013DX022] 

主　　题：Color Image Coding Shape-Adaptive All Phase Biorthogonal Transform (SA-APBT) Color Space Conversion Chain Code 

摘      要：This paper proposes a color image coding algorithm based on shape-adaptive all phase biorthogonal transform (SA-APBT). This algorithm is implemented through four procedures: color space conversion, image segmentation, shape coding, and texture coding. Region-of-interest (ROI) and background area are obtained by image segmentation. Shape coding uses chain code. The texture coding of the ROI is prior to the background area. SA-APBT and uniform quantization are adopted in texture coding. Compared with the color image coding algorithm based on shape-adaptive discrete cosine transform (SA-DCT) at the same bit rates, experimental results on test color images reveal that the objective quality and subjective effects of the reconstructed images using the proposed algorithm are better, especially at low bit rates. Moreover, the complexity of the proposed algorithm is reduced because of uniform quantization.