Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Missing data correction in still images and image sequences
Proceedings of the tenth ACM international conference on Multimedia
Fragment-based image completion
ACM SIGGRAPH 2003 Papers
Simultaneous structure and texture image inpainting
IEEE Transactions on Image Processing
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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Noise interference and data loss are two major problems that affect the processing results of image data transmission and storage. In order to effectively restore damaged image data, we propose a new image restoration technique based on wavelet transformation analysis. The primary feature of our proposed technique is to initially separate the given image into two principal components which encompass image veins and image color, respectfully. Then, according to the distinctive qualities of the given image, various image inpainting methods are adopted to perform image repair. By taking advantage of the separation of an image into its individual frequency components, a characteristic unique to wavelet transformation, our proposed method processes an image sequentially from the lower frequency layers of an image to the higher frequency layers. In order to substantiate the effectiveness of our proposed image inpainting method, we employed various images subject to high noise interference and/or extensive data loss or distortion. The results were extremely satisfying, even to the extent that the repaired images for distortion to over 90% show little or no indication that the image was once damaged.