Open AccessImage Denoising With Contourlet Transform
Author(s) -
Smita Vasant Tempe,
Asst. Prof. Ruhina Quazi
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41260
Subject(s) - contourlet , artificial intelligence , wavelet transform , computer science , noise reduction , wavelet , pattern recognition (psychology) , noise (video) , transformation (genetics) , computer vision , image (mathematics) , biochemistry , chemistry , gene
Sound causes image degradation during detection, processing, signal processing, and transmission through sound channels. Noise removal is a technique for eliminating noise from photographs. Denoising refers to the process of removing noise from a picture. In this paper we have proposed a novel algorithm was built based on a variable called "contourlet transform" is a term used to describe the transformation of a contourlet This algorithm is significantly more effective. in image extraction than the wavelet technique and especially the shock wave's elimination. The parameters were set. when wavelet and contourlet are compared SNR and IEF transforms The findings show that in terms of performance, the suggested approach outperforms the wavelet