Based On Partial Differential Equation Of The Technology On Image Enhancement

Image enhancement as an important constituent in image processing, the main purpose is to improve the recognition of the image, and plays an important role in image processing, this article based on the theory of partial differential equations to study, targeted to improve some problems, and provides the corresponding solution.This paper mainly completed work in two aspects, reflected in the partial differential equation for image denoising and enhancement. Through to the P-M diffusion model of learning, analysis the advantages and disadvantages of this method in the field of image denoising, Improve some deficiency in process of image processing, and make the method has a strong suitability, denoising while retaining more image texture and details. In partial differential equation of the image enhancement, combining with the histogram equalization in partial differential equation image enhancement applications, introduced the idea of thermal diffusion equation and uses the finite difference method, gives a comparatively rapid increase iterative algorithm. Reduce the computation time.Finally set up the DaVinci6446software and hardware platform, realize the partial differential equation of the image enhancement algorithm Codec transplantation and achieve the expected effect.