Improved Design of Image Repair Based on High Resolution Gray Mask

Image restoration is combined with computer graphics and virtual reality technology comprehensive discipline. In the cultural relics preservation and protection, medical image information and video effects the use of these areas have many meanings. Previous image restoration algorithm using breakpoint calibration and feature extraction method, when there is a discontinuous broken breakpoint, image inpainting result is bad. Based on a high resolution gray mask image restoration algorithm. First damaged to repair the image edge detection and gray feature extraction, extraction and currently waiting for a reply correction module in the highest priority of best sample module, and then calculated the damage wait for correction coefficient of low frequency and high frequency coefficient vector of image vector, image characteristics of layered ascension results are obtained, by Mallat wavelet lifting scheme design, based on high resolution gray mask processing, tracking to the breakage of the damaged image area, improve the global search ability of damaged image restoration. The simulation results show that the algorithm of image restoration quality is higher, signal-to-noise ratio error is small, embodies its superiority.