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電機系 謝景棠 教授於
會議論文
發佈
The Highly Lose Image Inpainting Method Based on Human Vision
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：The Highly Lose Image Inpainting Method Based on Human Vision會議論文The Highly Lose Image Inpainting Method Based on Human VisionHsieh, Ching-tang; Lai, E.; Yang, Ping-Da; Chen, Yen-Liang淡江大學電機工程學系Int. Conf. on Innovative Computing, Information and Control, China, pp.697-700Currently, noise interference and data loss are two major problems that affect the processing results of image data transmission and storage. In order to restore damaged image data effectively, we propose a novel image inpainting technique based on wavelet transformation. The primary feature of our proposed technique is to separate the given image into two principal components which encompass image texture and color respectively. 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, we use the multi-resolution characteristics of wavelet transform, f
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