Cover Image

Lossless Image Compression Using Multi-level Dictionaries: Binary Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Agnihotri, Samar, Rameshan, Renu, Ghosal, Ritwik
Format:	Preprint
Published:	2024
Subjects:	Information Theory Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Latent Space Characterization of Autoencoder Variants
by: Shrivastava, Anika, et al.
Published: (2024)

Robust Representation Learning in Masked Autoencoders
by: Shrivastava, Anika, et al.
Published: (2026)

Scaling Training Data with Lossy Image Compression
by: Mentzer, Katherine L., et al.
Published: (2024)

Bi-Level Spatial and Channel-aware Transformer for Learned Image Compression
by: Soltani, Hamidreza, et al.
Published: (2024)

G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System
by: Garg, Aryan, et al.
Published: (2022)

Image and Video Tokenization with Binary Spherical Quantization
by: Zhao, Yue, et al.
Published: (2024)

Challenges and Solutions in Selecting Optimal Lossless Data Compression Algorithms
by: Rahman, Md. Atiqur, et al.
Published: (2025)

Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering
by: Lentz, Joshua, et al.
Published: (2026)

Synonymous Variational Inference for Perceptual Image Compression
by: Liang, Zijian, et al.
Published: (2025)

Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
by: Wang, Kai, et al.
Published: (2024)

Efficient Semantic Communication Through Transformer-Aided Compression
by: Mortaheb, Matin, et al.
Published: (2024)

Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
by: Zhao, Mengyu, et al.
Published: (2024)

Natural Image Classification via Quasi-Cyclic Graph Ensembles and Random-Bond Ising Models at the Nishimori Temperature
by: Usatyuk, V. S., et al.
Published: (2025)

Enhancing Multi-Image Question Answering via Submodular Subset Selection
by: Sharma, Aaryan, et al.
Published: (2025)

Towards Efficient VLMs: Information-Theoretic Driven Compression via Adaptive Structural Pruning
by: Xu, Zhaoqi, et al.
Published: (2025)

Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
by: Chen, Xi, et al.
Published: (2024)

Cooperation and Federation in Distributed Radar Point Cloud Processing
by: Savazzi, S., et al.
Published: (2024)

Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain
by: Chung, Kuan-I, et al.
Published: (2024)

Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers
by: Nielsen, Frank
Published: (2024)

Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition
by: Razeghi, Behrooz, et al.
Published: (2024)

Multimodal Variational Autoencoder: a Barycentric View
by: Qiu, Peijie, et al.
Published: (2024)

Approximation and bounding techniques for the Fisher-Rao distances between parametric statistical models
by: Nielsen, Frank
Published: (2024)

Theoretical Guarantees of Data Augmented Last Layer Retraining Methods
by: Welfert, Monica, et al.
Published: (2024)

Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
by: Liu, Zheyuan, et al.
Published: (2023)

TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
by: Quétant, Guillaume, et al.
Published: (2025)

Generalising maximum mean discrepancy: kernelised functional Bregman divergences
by: Tsuchida, Russell, et al.
Published: (2026)

Joint Source-Channel-Generation Coding: From Distortion-oriented Reconstruction to Semantic-consistent Generation
by: Wu, Tong, et al.
Published: (2026)

The Principle of Uncertain Maximum Entropy
by: Bogert, Kenneth, et al.
Published: (2023)

Set Learning for Accurate and Calibrated Models
by: Muttenthaler, Lukas, et al.
Published: (2023)

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
by: Meng, Xiangming, et al.
Published: (2022)

VNDUQE: Information-Theoretic Novelty Detection using Deep Variational Information Bottleneck
by: Gondkar, Aryan, et al.
Published: (2026)

A series of maximum entropy upper bounds of the differential entropy
by: Nielsen, Frank, et al.
Published: (2016)

Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information
by: Yilmaz, Selim F., et al.
Published: (2023)

A Comparative Study of MAP and LMMSE Estimators for Blind Inverse Problems
by: Buskulic, Nathan, et al.
Published: (2026)

Lossy Common Information in a Learnable Gray-Wyner Network
by: de Andrade, Anderson, et al.
Published: (2026)

Simulation of a Vision Correction Display System
by: Sunil, Vidya, et al.
Published: (2024)

RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance
by: Mortaheb, Matin, et al.
Published: (2025)

Re-ranking the Context for Multimodal Retrieval Augmented Generation
by: Mortaheb, Matin, et al.
Published: (2025)

A Scalable Quantum Non-local Neural Network for Image Classification
by: Gupta, Sparsh, et al.
Published: (2024)

High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models
by: Yilmaz, Selim F., et al.
Published: (2023)