Contents 1 Introduction 2 1.1 How do We Train Deep Architectures? 5 1.2 Intermediate Representations: Sharing Features and Abstractions Across Tasks 7 1.3 Desiderata for Learning AI 10 1.4 Outline of the Paper 11 2 Theoretical Advantages of Deep Arc
function [PSNR, y_est] = BM3D(y, z, sigma, profile, print_to_screen,N2,N2_wiener,Ns,Ns_wiener,tau_match) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % BM3D is an algorithm for attenuation of additive white Gaussia
Exploit the amazing features of OpenCV to create powerful image processing applications through easy-to-follow examples About This Book Learn how to build full-fledged image processing applications using free tools and libraries Take advantage of cu
OpenCV, arguably the most widely used computer vision library, includes hundreds of ready-to-use imaging and vision functions and is used in both academia and enterprises. This book provides an example-based tour of OpenCV's main image processing al
PCA图像降噪新算法-LPG PCA，全名叫做Two-stage Image Denoising by Principal Component Analysis with Local Pixel Grouping。内含算法代码和数据集，均经本人实测，可进行灰度图像和RGB图像的降噪，且PSNR和SSIM指标明显好于小波滤波、K-SVD等经典算法。值得学习图像降噪的看看！
Guleryuz写的一个完整的小波变换的源代码。主要包括：wav_basic.c: basic filtering, decimation and upsampling routines. wav_basic.h: interface to wav_basic.c. wav_trf.c: transform routines. wav_trf.h: interface to wav_trf.c. wav_filters.h: where filter banks and their prope
Abstract—Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove color noise produced by today’s CCD digital camera. In this pape
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented using matrix and linear algebra routines. However, recent research has
Recent theoretical results on low-rank matrix reconstruction have inspired significant interest in low-rank modeling of MRI images. Existing approaches have focused on higher-dimensional scenarios with data available from multiple channels, timepoin
