tailieunhanh - Báo cáo hóa học: " Blind Image Deblurring Driven by Nonlinear Processing in the Edge Domain"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Blind Image Deblurring Driven by Nonlinear Processing in the Edge Domain | EURASIP Journal on Applied Signal Processing 2004 16 2462-2475 2004 Hindawi Publishing Corporation Blind Image Deblurring Driven by Nonlinear Processing in the Edge Domain Stefania Colonnese Dipartimento Infocom Universita degli Studi di Roma La Sapienza Via Eudossiana 18 00184 Roma Italy Email colonnese@ Patrizio Campisi Dipartimento Elettronica Applicata Universita degli Studi Roma Tre Via Della Vasca Navale 84 00146 Roma Italy Email campisi@ Gianpiero Panci Dipartimento Infocom Universita degli Studi di Roma La Sapienza Via Eudossiana 18 00184 Roma Italy Email gpanci@ Gaetano Scarano Dipartimento Infocom Universita degli Studi di Roma La Sapienza Via Eudossiana 18 00184 Roma Italy Email scarano@ Received 2 September 2003 Revised 20 February 2004 This work addresses the problem of blind image deblurring that is of recovering an original image observed through one or more unknown linear channels and corrupted by additive noise. We resort to an iterative algorithm belonging to the class of Bussgang algorithms based on alternating a linear and a nonlinear image estimation stage. In detail we investigate the design of a novel nonlinear processing acting on the Radon transform of the image edges. This choice is motivated by the fact that the Radon transform of the image edges well describes the structural image features and the effect of blur thus simplifying the nonlinearity design. The effect of the nonlinear processing is to thin the blurred image edges and to drive the overall blind restoration algorithm to a sharp focused image. The performance of the algorithm is assessed by experimental results pertaining to restoration of blurred natural images. Keywords and phrases blind image restoration Bussgang deconvolution nonlinear processing Radon transform. 1. INTRODUCTION Image deblurring has been widely studied in literature because of its theoretical as well as practical importance in fields such .

TÀI LIỆU LIÊN QUAN
crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.