Reduced-Reference Image Quality Assessment via Intra- and Inter-Subband Statistical Characteristics in Reorganized DCT Domain
In this paper, a novel reduced-reference (RR) image quality assessment (IQA) is proposed by depicting the intra- and inter-subband statistical characteristics in the reorganized discrete cosine transform (DCT) domain. Firstly, the block-based DCT coefficients are reorganized into a three-level tree. Generalized Gaussian density (GGD) function is employed to capture the intra-subband characteristics. The difference between the actual coefficient distribution and GGD is depicted by city-block distance (CBD). For the inter-subband characteristics, the mutual information (MI) between adjacent reorganized DCT subbands is utilized to depict the corresponding relationships. By combining the CBD of intra-subband and the MI of inter-subband together, the proposed RR IQA is developed. Experimental results demonstrate that compared to existing methods a smaller number of RR features is required for representing the image perceptual quality. The proposed method outperforms the RR WNISM and FR PSNR, and performs comparably with the FR SSIM.
Lin Ma Songnan Li King N. Ngan
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-7
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）