Work place: Department of computer engineering, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Isfahan, Iran
E-mail: ramezanpour@mau.ac.ir
Website:
Research Interests: Image Processing, Pattern Recognition, Computer Vision
Biography
Mohammadreza Ramezanpour received his B.Sc. degree in Computer Engineering from Islamic Azad University, Kashan, Iran. His M.Sc. degree from Islamic Azad University, Arak, Iran, and his Ph.D. degree in computer engineering from Science and Research Branch, Islamic Azad University, Tehran, Iran. His research interests include computer vision and image processing, pattern recognition and video coding standards.
By Hojatallah Karimzadeh Mohammadreza Ramezanpour
DOI: https://doi.org/10.5815/ijigsp.2016.11.03, Pub. Date: 8 Nov. 2016
The international standard of High Efficiency Video Coding (HEVC) improves the compression ratio over %50 compared with previous standards such as H264/AVC which maintain the same perceptual quality. HEVC has achieved significant coding efficiency improvement beyond existing video coding standard by employing several new coding tools. Deblocking filter, Adaptive Loop Filter (ALF) and Sample Adaptive Offset (SAO) are currently introduced for the HEVC standard. The deblocking filter detects the artifacts at the coded block boundaries and attenuates them by employing a selected filter. However, it was shown that the HEVC encoder may produce visible block artifacts on some sequences. In this paper, we propose an efficient deblocking filter to reduce block artifacts. The simulation results indicate that the maximum increase Peak signal-to-noise ratio (PSNR) of the proposed method is 0.09db, comparing to other deblocking filter algorithm.
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