IMAGE DENOISING BASED ON VISUAL PATTERNS

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TAHMOURESI AMIR ALI; SARYAZDI SAEID

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2013 | Volume:4 | Issue:2 (12) Page(s): 25-39

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Information Journal Paper

Title

IMAGE DENOISING BASED ON VISUAL PATTERNS

Author(s)

TAHMOURESI AMIR ALI | SARYAZDI SAEID | Issue Writer Certificate

Keywords

HUMAN VISUAL SYSTEM

IMAGE DENOISING

NON-LOCAL MEANS

VISUAL PATTERNS

Abstract

Among abundant IMAGE DENOISING methods proposed so far, the use of patch based algorithms have attracted a lot of attention from image processing community. Although these methods are very powerful in presentation of high quality results, the impact of HUMAN VISUAL SYSTEM (HVS) is ignored in sole of them. In this paper the human visual geometry is used in preparation of a new method for IMAGE DENOISING. Several image quality assessment (IQA) criteria, based on HVS, are used to confirm superiority of the proposed method in comparison with other state-of-the-art methods. In addition to denoising quality, the proposed method is fast as a result of dimensionality reduction.

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APA: Copy

TAHMOURESI, AMIR ALI, & SARYAZDI, SAEID. (2013). IMAGE DENOISING BASED ON VISUAL PATTERNS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 4(2 (12)), 25-39. SID. https://sid.ir/paper/328718/en

Vancouver: Copy

TAHMOURESI AMIR ALI, SARYAZDI SAEID. IMAGE DENOISING BASED ON VISUAL PATTERNS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2013;4(2 (12)):25-39. Available from: https://sid.ir/paper/328718/en

IEEE: Copy

AMIR ALI TAHMOURESI, and SAEID SARYAZDI, “IMAGE DENOISING BASED ON VISUAL PATTERNS,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 4, no. 2 (12), pp. 25–39, 2013, [Online]. Available: https://sid.ir/paper/328718/en

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