Image enhancement is a technique to improve picture quality. Enhancement can be done in different types such as histogram, low or high light intensity, de-noising, etc. The main objective of image enhancement is to clear the picture or remove noise from the blurred image. In this paper, the author focus on image enhancement using soft computing. Soft computing plays an essential role in applications of image processing. It is used in different imaging fields like medical diagnosis, image processing, classification, prediction, regression, and learning. In this research paper, a study of soft computing has been done. After this study, we found that fuzzy and convolution neural networks are implemented in different areas of image processing. In this, an enhancement has been done based on fuzzy and CNN. Both are soft computing techniques. Both techniques have separate spaces in the field of enhancement. Different parameters like PSNR, MSE, SSIM, BER, entropy, and execution time has been carried out separately by both techniques. MATLAB is used for this work. We have to take a standard image data set; we can take real-time images soon Keywords:Image enhancement, Fuzzy, Convolution Neural Network, Execution Time, Soft Computing, PSNR

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