On learning optimized reaction diffusion processes for effective image restoration
ثبت نشده
چکیده
001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 CVPR #306 CVPR #306 CVPR 2015 Submission #306. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
منابع مشابه
PSO-Optimized Blind Image Deconvolution for Improved Detectability in Poor Visual Conditions
Abstract: Image restoration is a critical step in many vision applications. Due to the poor quality of Passive Millimeter Wave (PMMW) images, especially in marine and underwater environment, developing strong algorithms for the restoration of these images is of primary importance. In addition, little information about image degradation process, which is referred to as Point Spread Function (PSF...
متن کاملFast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion
The degradation of the acquired signal by Poisson noise is a common problem for various imaging applications, such as medical imaging, night vision and microscopy. Up to now, many state-of-the-art Poisson denoising techniques mainly concentrate on achieving utmost performance, with little consideration for the computation efficiency. Therefore, in this study we aim to propose an efficient Poiss...
متن کاملReaction-Diffusion System with Additional Source Term Applied to Image Restoration
Many noisy texture images require the enhancement of coherent structures in various applications. Traditional TV-based methods make the denoising fail when the data-fitting weight parameter λ is strong, on the contrary, reducing the corresponding parameter λ may distort the textures, and generate staircase artifacts. Therefore in order to smooth the image efficiently, the suitable λ shall be ad...
متن کاملVariational Regularized Bayesian Estimation for Joint Blur Identification and Edge-Driven Image Restoration
The paper presents a novel method for joint blur identification and edge-driven image restoration in variational double regularized Bayesian estimation. The motivation is that the degradation of images includes not only additive, random noises but also multiplicative, spatial degradations, i.e., blur. Traditional nonlinear filtering techniques are observed in underutilization of blur identifica...
متن کاملDesign of a digital reaction-diffusion system for restoring blurred fingerprint images
This paper presents an algorithm for fingerprint image restoration using a Digital Reaction-Diffusion System (DRDS). The DRDS is a model of a discrete-time discrete-space nonlinear reactiondiffusion dynamical system, which is useful for generating biological textures, patterns and structures. This paper focuses on design and evaluation of a special DRDS having a capability of restoring incomple...
متن کامل