JOURNAL ARTICLE

<title>Image restoration using biorthogonal wavelet transform</title>

Jean-Michel BruneauMichel BarlaudPierre-Philippe Mathieu

Year: 1990 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 1360 Pages: 1404-1415   Publisher: SPIE

Abstract

A well-known method to solve ill-posed problem in image restoration is to use regularization techniques. The purpose of this paper is to propose a new scheme for digital image restoration based on a regularization method and on the BiOrthogonal Wavelet Transform. We show that, in cases where the blur function can be considered a scale function of a biorthogonal multiresolution analysis, it is possible to obtain an efficient family of regularization operators from the convolution operator alone.

Keywords:
Biorthogonal system Convolution (computer science) Regularization (linguistics) Image restoration Computer science Wavelet Biorthogonal wavelet Wavelet transform Artificial intelligence Multiresolution analysis Algorithm Image (mathematics) Discrete wavelet transform Computer vision Mathematics Image processing Artificial neural network

Metrics

10
Cited By
0.58
FWCI (Field Weighted Citation Impact)
0
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology

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