Through the enhancement of image texture details

improve the analysis ability of recognition and detail features of image acquisition of low quality. Traditional enhancement algorithm uses feature texture structure information sub space multidimensional spectrum peak search method

the algorithm only considers the texture feature of structural information feature subspace

no grid partition and effective for the remaining elements

detail enhancement effect is not good. An improved image enhancement algorithm of patch texture details grid index is proposed based on reverse interpolation. The first image structure and texture information transmission model design

introducing the grid index method for judging the image texture details enhancement priority

to extract details structure feature of image texture

brightness

contrast and structure similarity can be structured effective characterization of image features

using reverse interpolation to realize the image texture detail enhancement

the simulation results show that the detection e probability of the algorithm to the image texture characteristics of the highest

it can effectively ensure the quality of enhanced image

improve recognition and detail features of image acquisition of low quality analysis ability

it has higher application value in image recognition and image processing fields.