Undecimated Wavelet Transforms for Image De-noising

Technical Report · Tue Nov 19 00:00:00 EST 2002

DOI:https://doi.org/10.2172/15002085· OSTI ID:15002085

Gyaourova, A; Kamath, C; Fodor, I K

A few different approaches exist for computing undecimated wavelet transform. In this work we construct three undecimated schemes and evaluate their performance for image noise reduction. We use standard wavelet based de-noising techniques and compare the performance of our algorithms with the original undecimated wavelet transform, as well as with the decimated wavelet transform. The experiments we have made show that our algorithms have better noise removal/blurring ratio.

• Research Organization: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
• Sponsoring Organization: US Department of Energy (US)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 15002085
• Report Number(s): UCRL-ID-150931; TRN: US200408%%8
• Resource Relation: Other Information: PBD: 19 Nov 2002
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ALGORITHMS
PERFORMANCE
IMAGES
SIGNAL-TO-NOISE RATIO
IMAGE PROCESSING