Non-iterative blind deconvolution algorithm based on power-law distribution

The spectral amplitude of most natural images is approximately isotropic and follows the power law. In this study, the authors propose a new non-iterative blind image deconvolution algorithm that builds an isosceles curve model to approximate the spectrum amplitude of the real image. In the authors’...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IET image processing Ročník 14; číslo 17; s. 4499 - 4506
Hlavní autoři:	Gao, Weizhe, Xu, Xuebin, Yang, Yikang, Zhang, Zhiguang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 24.12.2020
Témata:	approximation theory blind deconvolution algorithm curve model deconvolution estimated OTF image deconvolution tasks image restoration integrated multidirectional comprehensive estimation natural images noniterative blind image deconvolution algorithm optical transfer function OTF estimation error power‐law distribution real‐time image restoration Research Article spectral amplitude spectrum amplitude Wiener filters approximation theory Wiener filters power-law distribution blind deconvolution algorithm spectral amplitude estimated OTF image deconvolution tasks deconvolution real-time image restoration curve model optical transfer function image restoration OTF estimation error natural images noniterative blind image deconvolution algorithm integrated multidirectional comprehensive estimation spectrum amplitude
ISSN:	1751-9659, 1751-9667
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!