The polluted image detection and inpainting using watermarking technique

• Main Authors: Chien-Chih Chen, 陳建志
• Other Authors: Ching-Tang Hsieh
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/93641624399040127378

碩士 === 淡江大學 === 電機工程學系碩士班 === 96 === In image completion and inpainting technique,the key issue is edge restoration. In order to resolve the image inpainting problem in the object edge and to enhance the accuracy of the original image during repairing, we presents a multi-purpose watermarking technique to repair image automatically. We use the edge of the original image as the robust watermark and embed it into the lower frequency band as the reference for repairing defected area. We also embedde a fragile watermark into image. By extracting the fragile watermarking, the repair system can detect the defected area automatically. Meanwhile, we utilize the extracted robust watermarking, followed by the texture of object edge, to repair the image block and edge of image. It is difficult to insert two watermarks and to achieve high Peak Signal to Noise Ratio, so we use the Discrete Wavelet Transform and Vector Quantization techniques to minimize the embedded data. According to the experimental results, the embedded watermark is invisible in the test image. When the test image was attacked, this technology can detect the large defected area or complicated defected area and repair it automatically.