Digital Image Restoration Algorithm Engineering

Image inpainting is an important research topic in the area of image restoration. Currently, this kind of techniques has found broad applications in image processing, vision analysis, digital restoration of ancient paintings for conservation purposes, text removal and objects removal in images for special effects, restoration of old photographs or films with scratches or missing patches, disocclusion in computer vision, errors conceal in videos, and so on. However, everything is just at the beginning. Based on understanding and utilization of the previous achievements, this dissertation focuses on developing innovative digital image inpainting methods.This paper proposed a new digital image inpaiting method, which combining two advanced algorithms and DSP processors. It makes image inpainting quick and easy to operate. The main jobs of this theme are followed:1,The principles of the two algorithms mentioned above are researched and analyzed respectively. Compared the tow with other inpainting algorithms by simulating them using Matlab, results showed that the ones used by this paper have obvious advantages.2,This theme focuses on the implementation of the algorithms on the hardware platform based on TMS320DM642. First, the design of whole system is introduced, as the DM642 EVM the main hardware platform, DSP software in terms of the two algorithms are developed on it. To increase its efficiency, several ways of code optimization are introduced. What is more, the development of an interface software on PC for displaying the digital images is also showed with the whole displaying process.3,The testing results show that the image inpainting on DSP is feasible and it is proved that this method has more advantages than traditional ways. Several drawbacks, as well as their causes, have been discussed, and the corresponding plan of improvement has been proposed.