title: Quality assessment of deblocked images.
abstract: We study the efficiency of deblocking algorithms for improving visual signals degraded by blocking artifacts from compression. Rather than using only the perceptually questionable PSNR, we instead propose a block-sensitive index, named PSNR-B, that produces objective judgments that accord with observations. The PSNR-B modifies PSNR by including a blocking effect factor. We also use the perceptually significant SSIM index, which produces results largely in agreement with PSNR-B. Simulation results show that the PSNR-B results in better performance for quality assessment of deblocked images than PSNR and a well-known blockiness-specific index.
authors.affiliation: Department of Internet and Multimedia Engineering, Konkuk University, Seoul 143-701, Korea. cyim@konkuk.ac.kr
authors.forename: Changhoon
authors.initials: C
authors.lastname: Yim
authors.forename: Alan Conrad
authors.initials: AC
authors.lastname: Bovik