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Quality Assessment of Deblocked Images

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2 Author(s)
Changhoon Yim ; Dept. of Internet & Multimedia Eng., Konkuk Univ., Seoul, South Korea ; Bovik, A.C.

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.

Published in:

Image Processing, IEEE Transactions on  (Volume:20 ,  Issue: 1 )