Abstract

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A FLEXIBLE DIGITAL NIGHT VISION ENHANCEMENT SCHEME WITH HOMOMORPHIC FILTERING AND ILLUMINATION SENSING

Vidhya Gowda, Samrudhi Kaulapure, Rutuja Rajput, Beilaitha Khithie


In the era where “DIGITAL” is the new default, there is need to bring out an digital approach for dealing with problems of ‘Night vision Enhancement’. A poorly illuminated image puts a contrast constraint to the human eye visibility at night, which is one of the main reasons for increase in accidents at night. Thus, depending on the characteristics of night-vision images, in this paper we propose an image enhancement using python approach to improve the quality of pictures by using CLAHE and filtering as a preprocessing technique. Later on generating an automated parameter adjustment homomorphic filtered image.