Image Group
Image research group, as one of the four research topic of MINE Laboratory, is devoted to research on image inpainting, defect detection, Progressive image transmission and medical graphics. Led by Prof. Timothy K. Shih, image group is composed of 2 PhD students and 5 MS students.

Image Inpainting
Digital inpainting is an image interpolation mechanism, which can automatically restore damaged or partially removed image. Most inpainting mechanisms use a singular resolution approach on the extrapolation or interpolation of pixels. We propose a multi-resolution algorithm, which can take into consideration the different levels of details. The algorithm was tested on 1000 still images, with an evaluation showing the effectiveness of our approach.

Defect detection
We developed a new mechanism which can automatically detect defect portions in a photo, including damages by color ink spray and scratch drawing. The mechanism is based on several filters and structural information of damages. Old photos from the author’s family are used for testing. Preliminary results show that most damages can be automatically detected without human involvement. 

Progressive image transmission
The mechanism can be used in web-based applications, while users are browsing images. Most PIT methods use the same pixel interpolation scheme for the entire picture, without considering the differences in different portions. We analysis the efficiency of pixel interpolation schemes and test several strategic decomposition mechanisms. Our contribution results in an adaptive image transmission mechanism, which takes the differences of pictures and picture portions into consideration.