一种细节保持的Retinex图像增强算法

doi:10.3969/j.issn.1001-2400.2010.03.028

Abstract

Abstract:

In image enhancement, due to the blurring problem of the Kimmel variation model based on the Retinex theory, a modification for the Kimmel model is presented. The new model modifies the Kimmel model by increasing an expression for preserving the detail, and then calculates the optimal illumination image by combining pyramid data structure and lifting algorithm, which reduces the computational complexity. Finally, the normal clipping stretch is deployed to process the reflectance image. Experiments show that this algorithm can effectively remove obscuration effect from color images.

Key words: image enhancement, Retinex theory, color constancy, lifting algorithm

MA Shi-ping;ZHANG Ming;BI Du-yan;XU Yue-lei. Novel detail preserving Retinex algorithm for image enhancement[J].J4, 2010, 37(3): 541-546.

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Novel detail preserving Retinex algorithm for image enhancement

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