Cover Image

Color Learning for Image Compression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prativadibhayankaram, Srivatsa, Richter, Thomas, Sparenberg, Heiko, Fößel, Siegfried
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Study on the Effect of Color Spaces in Learned Image Compression
by: Prativadibhayankaram, Srivatsa, et al.
Published: (2024)

SLIC: A Learned Image Codec Using Structure and Color
by: Prativadibhayankaram, Srivatsa, et al.
Published: (2024)

Compact Latent Representation for Image Compression (CLRIC)
by: Ameen, Ayman A., et al.
Published: (2025)

Efficient Learned Wavelet Image and Video Coding
by: Meyer, Anna, et al.
Published: (2024)

High Quality Underwater Image Compression with Adaptive Color Correction
by: Zhou, Yimin, et al.
Published: (2025)

LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transforms
by: Ameen, Ayman A., et al.
Published: (2025)

Frequency-Aware Transformer for Learned Image Compression
by: Li, Han, et al.
Published: (2023)

Progressive Learned Image Compression for Machine Perception
by: Kim, Jungwoo, et al.
Published: (2025)

Generalized Gaussian Model for Learned Image Compression
by: Zhang, Haotian, et al.
Published: (2024)

Approximately Invertible Neural Network for Learned Image Compression
by: Gao, Yanbo, et al.
Published: (2024)

CALLIC: Content Adaptive Learning for Lossless Image Compression
by: Li, Daxin, et al.
Published: (2024)

Causal Context Adjustment Loss for Learned Image Compression
by: Han, Minghao, et al.
Published: (2024)

On Disentangled Training for Nonlinear Transform in Learned Image Compression
by: Li, Han, et al.
Published: (2025)

CMamba: Learned Image Compression with State Space Models
by: Wu, Zhuojie, et al.
Published: (2025)

Sparse Point Clouds Assisted Learned Image Compression
by: Jiang, Yiheng, et al.
Published: (2024)

Few-Shot Domain Adaptation for Learned Image Compression
by: Zhang, Tianyu, et al.
Published: (2024)

Balanced Rate-Distortion Optimization in Learned Image Compression
by: Zhang, Yichi, et al.
Published: (2025)

Efficient Learned Image Compression without Entropy Coding
by: Cao, Hao, et al.
Published: (2026)

Domain Adaptation for Learned Image Compression with Supervised Adapters
by: Presta, Alberto, et al.
Published: (2024)

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)

Embodied Image Compression
by: Li, Chunyi, et al.
Published: (2025)

Traditional Transformation Theory Guided Model for Learned Image Compression
by: Li, Zhiyuan, et al.
Published: (2024)

Online Meta Adaptation for Variable-Rate Learned Image Compression
by: Jiang, Wei, et al.
Published: (2021)

Learned HDR Image Compression for Perceptually Optimal Storage and Display
by: Cao, Peibei, et al.
Published: (2024)

Rethinking Learned Image Compression: Context is All You Need
by: Luo, Jixiang
Published: (2024)

MLIC: Multi-Reference Entropy Model for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2022)

Window-based Channel Attention for Wavelet-enhanced Learned Image Compression
by: Xu, Heng, et al.
Published: (2024)

Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
by: Zhang, Yichi, et al.
Published: (2025)

Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression
by: Shindo, Takahiro, et al.
Published: (2024)

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
by: Zhai, Yongqi, et al.
Published: (2024)

A Training-Free Defense Framework for Robust Learned Image Compression
by: Song, Myungseo, et al.
Published: (2024)

DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression
by: Bao, Youneng, et al.
Published: (2025)

TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation
by: Jiang, Wei, et al.
Published: (2024)

Idempotence and Perceptual Image Compression
by: Xu, Tongda, et al.
Published: (2024)

LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression
by: Murai, Shimon, et al.
Published: (2024)

ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training
by: Hojjat, Ali, et al.
Published: (2023)

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2023)

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
by: Zhang, Xi, et al.
Published: (2024)

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
by: Kurmukov, Anvar, et al.
Published: (2024)

FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression
by: Jiang, Shiqi, et al.
Published: (2025)