The Research And Technical Application Of Fast Local Laplacian Filters

Computer technology is developing rapidly today,Digital image processing technology is a branch of computer technology is widely used in all in all fields.Digital image processing technology has many classifications.Some of these techniques are used to process images.Strengthen the important part and weaken the unimportant part,so that the audience can see the key part of the image.This technology is called image enhancement technology.Multiscale analysis of images is often used in image enhancement.But the multiscale analysis of images is easy to appear halo.In order to realize the effect of image free shadow,we need to use the complex edge sensing technology and fine detail parameter adjustment.The local Laplace filter solves these problems.The local Laplace filter uses the Laplace pyramid to enhance the edge of the image.But its drawback is the operation is slow,and the relationship with other algorithms is not clear.Based on the above questions,this paper will introduce a fast local Laplace filter which based on the Laplace filter to solve these problems.First,we need to know the relationship between local Laplace filter and anisotropic diffusion and bilateral filtering.By comparing this relation,we obtain the non-normalized bilateral filtering.Bilateral filtering not only maintains speed but also produces sharper edges when processing images.Then,we need to understand the commonness and difference between the non-normalized bilateral filtering and the local Laplace filter.The speed of the local Laplace filter is improved by the acceleration scheme of grayscale image.It's called the fast local Laplace filter.Finally,The image gradient histogram is changed with fast local Laplace filter.andshow the change of image style resulting from image gradient histogram change.