QUALITY ESTIMATION OF FRACTAL CODED IMAGES BASED ON IMAGE FEATURES

摘要

Fractal image coding is one of the coding techniques used for digital images. It can provide the decoded images with a higher quality than the JPEG compression at ultra low bit-rates. However, we cannot adopt it practically. One of the reasons is that the decoded images are sometimes low quality. Moreover, what is more inconvenient is that we cannot know the decoded image quality of a given image unless we actually encode and decode it which takes a lot of time. Therefore, in this paper, we have investigated the relationship between the quality of the decoded image and various features of the image. By finding the important features which relate to the image quality, we can estimate the decoded image quality in a short amount of time without actually encoding the image.