Abstract:

In order to direct image enhancement better, we propose a Degradation Process Simulation Model by simulating the process of image degradation, mutual effects from adjacent pixels, not well-proportioned illumination, as well as the decline of the medium transfer ratio, are taken into account in the new model. A vision adaptability solution for the model is proposed according to the human visual system, including contrast sensitivity, brightness adaptive faculty and lateral inhibition. There are three processes in the solution: Firstly, deconvolution is applied to eliminate the adjacent pixels' mutual effects and upgrade the details; secondly, intensity adjustment is applied to gloom the bright area, brighten the dark area and balance illumination; thirdly, extra lightness removal is applied to recover the image's color and details, and then get the visual pleasing image. Compared with some preexisting image enhancement algorithms, it can be found in experimental results that the applications of the proposed algorithm yield some promising results in getting more details, upgrading the contrast, and having better visual pleasing characters.

Key words: image enhancement, human visual system, image degradation model, lateral inhibition