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A Local Multi-scale Retinex Algorithm based on LIP Model for Enhancement of Color Image
The image quality will reduce in the acquisition process due to various reasons, but the visual effect of the image will be better by using image enhancement technology, and improve the ability of the eyes to distinguish information. In response to this issue, this paper provides an in-depth analysis of the Retinex algorithm, and describes the traditional models of SSR and MSR algorithms, through the analysis of defects in their application in image enhancement, the local multi-scale Retinex algorithm based on LIP(logarithmic image processing) model is presented, LIP-R for short. LIP-R algorithm proposed in this article replaces the linear weighting method in the MSR algorithm, and uses the regional division method of the mentioned LIP model with parameters to segment the illumination of the image, and then uses different scale Retinex enhancements according to the illumination characteristics of the subgraph, which can highlight the advantages of different scale of Gauss function. Simulation results show that LIP-R algorithm proposed in this paper has reached a very high level in the detail of the clarity of the image and the image enhancement, and at the same time the proposed new method also effectively improves the brightness of the enhance image, which is more conducive to identifying the human eye.
retinex algorithm, image enhancement, denoising majorization, color image.
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