Low-light ship image enhancement based on homomorphic filtering and MSR algorithm
The traditional Retinex algorithm for image enhancement of low illuminance ships at sea has some problems,such as overexposure,detail loss and edge blur.Therefore,an improved algorithm combining multiscale Retinex and homo-morphic filtering is proposed.First,the RGB three channels of the input image are processed by an improved single paramet-er homomorphic filter,and the processed image is transformed into HSV space,in which the s-component is adaptively en-hanced.The illumination component is estimated by the multi-scale Retinex algorithm and equalized by the CLAHE al-gorithm,and then the reflection component after gamma transformation is fused.After fusion,its edge is enhanced by Lapla-cian operator.Finally,the corrected illumination component and the edge enhanced reflection component are effectively fused to output an enhanced image.The comparative analysis of the experimental results proves that the proposed algorithm is conducive to the improvement of the clarity of the marine low illuminance ship image and the generation of detail loss and image overexposure problems.
万方数据
维普
