Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
MRF-based adaptive detection approach: A framework for restoring images degraded by Gaussian
- Authors
- Nguyen, T.-A.; Hong, M.-C.
- Issue Date
- 2014
- Publisher
- International Information Institute Ltd.
- Keywords
- Constraints; Denoising; Parameters; Smoothness; Variable window
- Citation
- Information (Japan), v.17, no.9B, pp.4371 - 4380
- Journal Title
- Information (Japan)
- Volume
- 17
- Number
- 9B
- Start Page
- 4371
- End Page
- 4380
- ISSN
- 1343-4500
- Abstract
- This paper presents a spatially adaptive algorithm for image denoising. Using the statistics of the degraded image, a method for estimating the parameters of the additive noise is provided. This method will also define the constraints in the noise detection process, which, coupled with the first order Markov Random Field (MRF), are used to determine the degree of the noise. Based on the estimated degree of noise, an adaptive low-pass filter with variable window sizes is used to control the degree of smoothness of the reconstructed image. Experimental results demonstrate the capability of the proposed algorithm. © 2014 International Information Institute.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Information Technology > ETC > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Hong, Min-Cheol
- College of Information Technology (Department of Electronic Engineering)