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Diffusion based Low-Light Image Enhancement

Riya *, Bhupendra Gupta, Subir Singh Lamba

Abstract


Sometimes the visual quality of images is affected by imperfect imaging conditions such as low-light,foggy weather, cloudy weather and night-time lighting. This poor quality of images affects the performances of many computer vision algorithms which are specially designed for high-quality
images. In this paper, we are introducing a simple and effective method to enhance the low-light images based on the Retinex theory, in which the illumination-map is made to be region aware. In this
paper, diffusion-based filtering is used to refine the illumination-map so that prominent structure of the enhanced image is preserved. In the experimental section, the qualitative and quantitative comparisons have been made to show the effectiveness of the proposed method over the state-of-theart
methods.


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