Downloads: 129 | Views: 260
Research Paper | Computer Science & Engineering | India | Volume 5 Issue 6, June 2016 | Popularity: 6.2 / 10
Comparing Wavelet and Wavelet Packet Image Denoising Using Thresholding Techniques
Tapan Kumar Hazra, Rajib Guhathakurta
Abstract: Image denoising has remained a fundamental problem in the field of image processing. With Wavelet transforms, various algorithms for denoising in wavelet domain were introduced. Wavelets gave a superior performance in image de-noising because here multi-resolution analysis is possible. Wavelet thresholding is a signal estimation technique that exploits the capabilities of wavelet transform for signal denoising. The aim of this project was to study various denoising techniques using wavelet and wavelet packets and compare them to determine the better one for image denoising. Performance of denoising algorithm is measured using quantitative performance measures such as Signal-to-Noise Ratio (SNR) and Mean Square Error (MSE).
Keywords: Multi-resolution, Sub-Band Coding, Discrete Wavelet Transform, Continuous Wavelet Transform, Wavelet Packet
Edition: Volume 5 Issue 6, June 2016
Pages: 790 - 796
DOI: https://www.doi.org/10.21275/NOV164305
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 102
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015
Pages: 1984 - 1986Discrete Cosine Transform based Image Inpainting
Bansi B. Thanki
Downloads: 103
Review Papers, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015
Pages: 1769 - 1771A Review of Comparatively Study of Different Speaker Recognition Techniques
Umer Malik
Downloads: 116
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 4, April 2016
Pages: 1625 - 1628A Hybrid Non Blind Video Watermarking Scheme Based on DWPT and PCA
Shital Khaparde, Shanta Sondor