Research on Image Dehazing Based on Improved HSV Retinex Algorithm
An improved Retinex algorithm is proposed to address the issues of computation-intensive and time-consumption in traditional Retinex algorithms for atomized images.Firstly,the traditional color space model is converted into the HSV color space model for calculation;Then,the color tone H is kept unchanged during the processing;and finally,the brightness component V is subjected to Retinex dehazing processing,significantly reducing the mathematical computation of the image dehazing algorithm.The dehazing performance of the improved algorithm based on HSV is test on example hazy images,compared to the MSR algorithm.The results show that the improved HSV algorithm exhibits better dehazing effect,shorter processing time,with dehazing efficiencies for local and overall hazy samples improving by 158% and 162%,respectively,as well as relatively uniform brightness distribution.
Retinexcolor space conversionimage filteringImage dehazing
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