Satellite image enhancement by using dual tree complex wavelet transform: Denoising and illumination enhancement

[ X ]

Tarih

2012

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

This research work proposes a satellite image enhancement system consisting of image denoising and illumination enhancement technique based on dual tree complex wavelet transform (DT-CWT). The technique firstly decomposes the noisy input image into different frequency subbands by using DT-CWT and denoises these subbands by using local adaptive bivariate shrinkage function (LA-BSF) which assumes the dependency of subband detail coefficients. In LA-BSF, model parameters are estimated in a local neighborhood which results in improved denoising performance. Then the denoised image once more is decomposed into the different frequency subbands by using DT-CWT. The highest singular value of the low frequency subbands are used in order to enhance the illumination of the denoised image. Finally the image is reconstructed by applying the inverse DT-CWT (IDT-CWT). The experimental results show the superiority of the proposed method over the conventional and the state-of-art techniques. © 2012 IEEE.

Açıklama

2012 20th Signal Processing and Communications Applications Conference -- SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye -- Mugla -- 90786

Anahtar Kelimeler

Forestry, Illumination, Image Analysis, Telecommunications, Forestry, Image enhancement, Image segmentation, Signal processing, Bivariate shrinkages, De-noising, Detail coefficients, Different frequency, Dual-tree complex wavelet transform, Enhancement techniques, Input image, Local-adaptive, Low frequency, Model parameters, Satellite images, Singular values, Subbands, Image denoising

Kaynak

2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

WoS Q Değeri

Scopus Q Değeri

N/A

Cilt

Sayı

Künye