Design a deblocking filter with three separate modes in DCT-based coding |
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| Affiliation: | 1. MulticoreWare, Inc., St. Louis, MO, USA;2. Department of Electrical and Computer Engineering, Southern Illinois University, Carbondale, IL 62901, USA;1. Department of Economics and Management \"Marco Fanno\", University of Padua, Via del Santo 33, 35123 Padua, Italy;2. University of Florence, Department of Business and Economics, Via delle Pandette, 9, 50127 Florence, Italy;3. University of Pisa, Department of Economics and Management, Via Cosimo Ridolfi, 10, 56124 Pisa, Italy;1. School of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen 361024, China;2. Key Laboratory for Green Building Materials of the Education Department of Fujian Province, Xiamen 361024, China;3. Fujian Provincial Key Laboratory of Fire Retardant Materials, Xiamen 361005, China;4. School of Civil Engineering, Hunan University, Changsha 410082, China;5. Department of Civil Engineering, University of Toronto, Toronto, ON M5S1A4, Canada;6. China Building Materials Academy, Beijing 10024, China;1. Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;2. Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia, Malaysia;3. Centre of Foundation Studies, Universiti Teknologi MARA, 42300, Puncak Alam, Selangor, Malaysia;4. Institute of Science, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;1. Cinvestav del IPN, Unidad Queretaro, Qro. C.P, 76230, Mexico;2. CONACYT-Instituto de Física, Benemérita Universidad Autónoma de Puebla, Mexico |
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| Abstract: | The reconstructed images from highly compressed data have noticeable image degradations, such as blocking artifacts near the block boundaries. Post-processing appears to be the most feasible solution because it does not require any existing standards to be changed. Markedly reducing blocking effects can increase compression ratios for a particular image quality or improve the quality of equally compressed images. In this work, a novel deblocking algorithm is proposed based on three filtering modes in terms of the activity across block boundaries. By properly considering the masking effect of the HVS (Human Visual System), an adaptive filtering decision is integrated into the deblocking process. According to three different deblocking modes appropriate for local regions with different characteristics, the perceptual and objective quality are improved without excessive smoothing the image details or insufficiently reducing the strong blocking effect on a flat region. According to the simulation results, the proposed method outperforms other deblocking algorithms in respect to PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural SIMilarity). |
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