Texture sensitive image inpainting after object morphing

• Main Authors: Yin-Chieh Liu, 劉印婕
• Other Authors: Yi-Leh Wu
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/62993529574338731139

碩士 === 國立臺灣科技大學 === 資訊工程系 === 100 === This paper develops an object morphing algorithm and an image inpainting algorithm. Nowadays, there are many image editing functions for the cameras. For example, the function of beauty skin is made by soft focus lens. This paper proposed an object morphing method to heighten the human height in the image. The object morphing method is based on minimizing the change in gradients after adding rows to the object to preserve texture detail. To fill the missing pixels in the image after object morphing, an efficient and accurate inpainting method is presented based on a new patch classification to determine what edge direction the patch passed through, and recovering the missing pixel according to the edge direction. Also, a hybrid inpainting algorithm designed by automatic texture complexity detection is presented. Experiments demonstrate that the proposed texture sensitive inpainting method and the hybrid inpainting method perform better than the previous inpainting methods.