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Proceedings Paper

Variational adaptive image denoising model based on human visual system
Author(s): Wenjun Li; Chanjuan Liu; Hailin Zou
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Paper Abstract

A variational image adaptive denoising model based on human visual system is proposed by introducing control parameter p which can determine the diffusion intensity to Total Variation (TV) model. The model can adaptively select the value of parameter p according to human visual system noise visibility value of each pixel which makes diffusion intensity close to edges smaller than those far away from edges. For this method is more consistent with human perception, human eyes can perceive the improvement of image quality intuitively. Numerical experiments show that the proposed method can overcome staircase effect, remove the noise while preserving significant image details and better performance has been achieved.

Paper Details

Date Published: 8 December 2011
PDF: 6 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80020X (8 December 2011); doi: 10.1117/12.901576
Show Author Affiliations
Wenjun Li, Ludong Univ. (China)
Chanjuan Liu, China Univ. of Mining and Technology (China)
Hailin Zou, Ludong Univ. (China)


Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)

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