Research On Image Enhancement Method Based On Chicken Colony Optimization

With the development of science and technology,the quality of image acquisition has been improving.However,image acquisition is also affected by many factors of environment and equipment.Image enhancement has become a hot topic in many areas.In view of the existing methods of image enhancement over enhancement and color distortion in the enhanced image enhancement methods,the brightness of images and the existing problems of sensitive color balance methods,and poor adaptability,and often rely on subjective parameters,it is difficult to achieve adaptive image enhancement,so the chicken and swarm optimization algorithm combining traditional image for image enhancement,adaptive enhancement has brought new opportunities and challenges.The chicken swarm optimization algorithm research of image self-adaption enhancement using the basic theory of Retinex image enhancement and focuses on the adaptive image enhancement chicken swarm optimization framework,Tetrolet adaptive image enhancement method based on chicken swarm optimization and CSO optimization of gradient domain adaptive filtering method for image enhancement based on guide.First of all,the reasons for the simple image adaptive enhancement or poor robustness,the adaptive image enhancement method of in-depth study,the subjective image enhancement problem into an optimization problem to be solved,and then puts forward a basic framework of adaptive image enhancement based on Optimization of chickens.Secondly,a new adaptive enhancement method for Tetrolet image based on chicken group optimization is proposed.Using the gray information entropy of the image as the objective function,the problem of the subjective image enhancement is transformed into an optimization problem.First of all,the luminance of image by multi-scale Retinex image enhancement;secondly,Tetrolet transform to the image,and the nonlinear adjustment of high frequency components,and then Gamma correction;finally,using chicken swarm optimization algorithm to solve the optimization objective function,nonlinear function parameters and obtain the optimal image enhancement Gamma the correction parameters,and optimization of image enhancement,improve image quality.Finally,a new gradient domain guidance filter image adaptive enhancement method based on chicken group optimization is proposed.Using BIQME as the objective function,the transformation of the subjective image enhancement problem into optimization problems.Firstly,the gray-scale image brightness gradient domain guided filtering Retinex image enhancement and Gamma correction,secondly,to color balance to the image,and finally use the CSO algorithm to optimize the objective function,the optimal image gradient domain enhanced guidance filter parameters and color balance parameters to realize the image adaptive enhancement,improve the robustness of the adaptive image enhancement.