songxiarunn,github

bl-juniper-a-cnn-assisted-framework-for-perceptual-video-coding-leveraging-block-level-jnd

Supplementary material for the paper "BL-JUNIPER: A CNN Assisted Framework for Perceptual Video Coding Leveraging Block Level JND", IEEE TMM 2022

cdv

No Reference Image Sharpness Assessment Based on Global Color Difference Variation

Code for paper - D. Temel and G. AlRegib, "Image quality assessment and color difference," 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, 2014, pp. 970-974.

color-vector-gradient-maps-on-images-and-video

Function to generate vector gradient maps in RGB images, while preserving 3-channel color information.

colorcomparingneuralnetwork

Shallow neural network for color difference prediction. Color difference is computed, with some adjustments to the original DeltaE, through a FIS.

distinguishing_recolored_images

With the development of image colorization technique, the recolored images (RIs) become more and more authentic, making it very difficult to visually distinguish from natural images (NIs). Recently, researchers have proposed the detection methods towards recolored images. However, the current detection still has limitations such as poor generalization, large-scale training samples, high-dimensional features for training, and high computation cost. To address those issues, this paper proposes a novel method based on the lateral chromatic aberration (LCA) inconsistency and its statistical differences. Generally, RIs have fewer numbers of LCA characteristics than that of NIs, that inspire us to design the classifier for distinguishing two types of images. In particular, we propose to adopt very low 5-dimensional features to feed a classical SVM mechanism. The baseline ImageNet and Oxford datasets are used to verify the effectiveness of the proposed method, in which the performance of our proposed method rivals the prior arts.

eniqa

Entropy-based No-reference Image Quality Assessment

hduthesis

杭州电子科技大学硕士学位论文LaTeX模版

image-and-video-quality-assessment

图像/视频质量评价（I/VQA）算法代码汇总。持续更新。

image-quality-assessment

image_color_segmentation-gmm

Implemented Gaussian Mixture Models (GMM) for image color segmentation.

imagedenoise

基于MATLAB实现传统图像去噪算法（均值滤波、中值滤波、非局部均值滤波NLM、三维块匹配滤波BM3D）和基于深度卷积神经网络的DnCNN图像去噪算法。

information-theory-tool

Matlab code to compute entropy, conditional entropy, mutual information, channel capacity, and rate distortion.

iqa

Image Quality Assessment.

jnqd

Learning-based Just-noticeable-quantization-distortion Model for perceptual video coding

klt-jnd

This is a brief introduction of our proposed JND profile with totally new design philosophy based on KLT.

mwcnn

Multi-level Wavelet-CNN for Image Restoration

nonlinear-unsharp-masking

This source code is a MATLAB implementation of a nonlinear unsharp masking method, published in the proceeding of ICEIC 2020, Barcelona, Spain. The algorithm was implemented by means of generalized operators, therein lies the underlying cause of its robustness against out-of-range issue.

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