원문정보
초록
영어
Image inpainting is an important research topic in the field of image processing. The goal of inpainting is to recover the lost information of the target region from the rest of the image. Inpainting techniques can be applied in areas such as old photo restoration, object removal and demosaicing. Based on previous literatures of image inpainting and image modeling, we categorize inpainting processes of different methods and algorithms into the structure layer and the texture layer. Then the mathematical inpainting models and the formations of image impairment are analyzed and evaluated in detail. Experimental results are provided in the fifth section regarding to eight different algorithms measured by Peak Signal to Noise Ratio (PSNR) as well as direct visual perception.
목차
1. Introduction
2. Structure
2.1. Partial Differential Equations Methods
2.2. Exemplar Based Methods
3. Texture
4. Sparse Inpainting
4.1. Sparse Compression
4.2. Computing the Sparse Representation Matrix
4.3. Dictionary
4.4. Sparse-Representation-Based Inpainting
5. Experiment
6. Conclusion
References