Enhancement Algorithm of Color Fog Image Based on the Adaptive Scale and Multi-Parameter Correction

Abstract:

To deal with the image contrast and color fidelity details problem in the traditional Center around the Retinex image enhancement algorithms, Enhancement Algorithm of Color Fog Image Based on the Adaptive Scale and Multi-parameter correction is proposed. First, the saturation component of the HSI color space is applied to the nonlinear correction. Then according to the brightness of the image pixel values, it can calculates the scale of the Gaussian kernel, and then proceeds to do the multi-parameter correction for the estimates of the reflection component, obtains the multi-scale image by the weighted average. At last, the obtained image is used to adjust the display correction, image sharpening and smoothing, and being superimposed reflection components, achieving the image enhancement. Through the subjective observation and objective evaluation, this algorithm is better than the traditional center around Retinex algorithm in treatment effect, and also saves a large amount of processing time.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 3838-3843
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.3838
• Online since: July 2014
• Authors: Yin Gao, Li Jun Yun*, Jun Sheng Shi, Fei Yan Cheng
• Keywords: Adaptive Scale, Grayscale Adjustment, Image Enhancement, Multi-Parameter Correction

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