Graph spectral image processing

G Cheung, E Magli, Y Tanaka… - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
Recent advent of graph signal processing (GSP) has spurred intensive studies of signals
that live naturally on irregular data kernels described by graphs (eg, social networks …

Dense light field coding: A survey

C Conti, LD Soares, P Nunes - IEEE access, 2020 - ieeexplore.ieee.org
Light Field (LF) imaging is a promising solution for providing more immersive and closer to
reality multimedia experiences to end-users with unprecedented creative freedom and …

[图书][B] Discrete cosine transform

H Ochoa-Dominguez, KR Rao - 2019 - taylorfrancis.com
Many new DCT-like transforms have been proposed since the first edition of this book. For
example, the integer DCT that yields integer transform coefficients, the directional DCT to …

Dynamic neural network for lossy-to-lossless image coding

T Dardouri, M Kaaniche… - … on Image Processing, 2021 - ieeexplore.ieee.org
Lifting-based wavelet transform has been extensively used for efficient compression of
various types of visual data. Generally, the performance of such coding schemes strongly …

Joint Learning of Fully Connected Network Models in Lifting Based Image Coders

T Dardouri, M Kaaniche… - … on Image Processing, 2023 - ieeexplore.ieee.org
The optimization of prediction and update operators plays a prominent role in lifting-based
image coding schemes. In this paper, we focus on learning the prediction and update …

Optimized lifting scheme based on a dynamical fully connected network for image coding

T Dardouri, M Kaaniche… - … on Image Processing …, 2020 - ieeexplore.ieee.org
Wavelet decompositions based on lifting schemes have been widely used in image coding.
Generally, the efficiency of such compression methods strongly depends on the design of …

Pre-demosaic light field image compression using graph lifting transform

YH Chao, G Cheung, A Ortega - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
A plenoptic light field (LF) camera places an array of microlenses in front of an image
sensor, in order to separately capture different directional rays arriving at an image pixel …

A neural network approach for joint optimization of predictors in lifting-based image coders

T Dardouri, M Kaaniche… - … on Image Processing …, 2021 - ieeexplore.ieee.org
The objective of this paper is to investigate techniques for learning Fully Connected Network
(FCN) models in a lifting based image coding scheme. More precisely, based on a 2D non …

Transform competition for temporal prediction in video coding

T Biatek, V Lorcy, P Philippe - IEEE Transactions on Circuits …, 2018 - ieeexplore.ieee.org
Transform plays a crucial role in video coding, since it is in the transform domain that the
bitrate reduction happens. Recently, coding with transform competition has emerged …

Multi-Task Convolution Neural Network-Based Lifting Scheme for Image Compression

T Dardouri, M Kaaniche, A Benazza-Benyahia… - Pattern Recognition …, 2024 - hal.science
Lifting schemes have attracted much interest in different image processing tasks, and more
specifically in the image compression field. In this context, the optimization of the lifting …