A systematic evaluation of coding strategies for sparse binary images

Author:

Mohideen Rahul Mohideen KajaORCID,Peter Pascal,Weickert Joachim

Funder

European Research Council

Horizon 2020 Framework Programme

Horizon 2020

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference58 articles.

1. JPEG: Still Image Data Compression Standard;Pennebaker,1992

2. Overview of the high efficiency video coding (HEVC) standard;Sullivan;IEEE Trans. Circuits Syst. Video Technol.,2012

3. Image compression with anisotropic diffusion;Galić;J. Math. Imaging Vision,2008

4. How to choose interpolation data in images;Belhachmi;SIAM J. Appl. Math.,2009

5. Contextual image compression from adaptive sparse data representations;Demaret,2009

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1. Sampling binary sparse coding QUBO models using a spiking neuromorphic processor;Proceedings of the 2023 International Conference on Neuromorphic Systems;2023-08

2. Learning Sparse Masks for Diffusion-Based Image Inpainting;Pattern Recognition and Image Analysis;2022

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