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Quality Assessment of Deblocked Images

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2 Author(s)
Changhoon Yim ; Department of Internet and Multimedia Engineering, Konkuk University, Seoul, Korea ; Alan Conrad Bovik

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:

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