Image up-sampling using the discrete wavelet transform

Authors

Laleh Asgharian, University of Texas-Pan American

Date of Award

8-2006

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Dr. Ping-Sing Tsai

Second Advisor

Dr. Zhixiang Chen

Third Advisor

Dr. Richard H. Fowler

Abstract

Image up-sampling is an effective technique, useful in today's digital image processing applications and rendering devices. In image up-sampling, an image is enhanced from a lower resolution to a higher resolution with the degree of enhancement depending upon application requirements. It is known that the traditional interpolation based approaches for up-sampling, such as the Bilinear or Bicubic interpolations, blur the resultant images along edges and image features. Furthermore, in color imagery, these interpolation-based up-sampling methods may have color infringing artifacts in the areas where the images contain sharp edges and fine textures. We present an interesting up-sampling algorithm based on the Discrete Wavelet Transform (DWT). The proposed method preserves much of the sharp edge features in the image, and lessens the amount of color artifacts. Effectiveness of the proposed algorithm has been demonstrated based on comparison of PSNR and Δ E * ab quality metrics between the original and reconstructed images.

Comments

Copyright 2006 Laleh Asgharian. All Rights Reserved.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/dissertations-theses/image-up-sampling-using-discrete-wavelet/docview/304912862/se-2?accountid=7119

Granting Institution

University of Texas-Pan American