Cover Image

Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fernández-Menduiña, Samuel, Pavez, Eduardo, Ortega, Antonio
Format:	Preprint
Published:	2025
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

Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines
by: Menduiña, Samuel Fernández, et al.
Published: (2024)

Wrapper-Aware Rate-Distortion Optimization in Feature Coding for Machines
by: Fernández-Menduiña, Samuel, et al.
Published: (2026)

Rate-Distortion Optimization for Ensembles of Non-Reference Metrics
by: Xiong, Xin, et al.
Published: (2026)

Rate-Distortion Optimization with Non-Reference Metrics for UGC Compression
by: Fernández-Menduiña, Samuel, et al.
Published: (2025)

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

Efficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization
by: Zhang, Zhiyu, et al.
Published: (2024)

Embedding Compression Distortion in Video Coding for Machines
by: Sun, Yuxiao, et al.
Published: (2025)

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
by: Liu, Jinming, et al.
Published: (2024)

Stereo Image Coding for Machines with Joint Visual Feature Compression
by: Jin, Dengchao, et al.
Published: (2025)

Training-Free Adaptive Quantization for Variable Rate Image Coding for Machines
by: Tatsumi, Yui, et al.
Published: (2025)

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
by: Liang, Yuanbang, et al.
Published: (2024)

Fast graph-based denoising for point cloud color information
by: Watanabe, Ryosuke, et al.
Published: (2024)

SANR: Scene-Aware Neural Representation for Light Field Image Compression with Rate-Distortion Optimization
by: Zhang, Gai, et al.
Published: (2025)

Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders
by: Mari, Daniele, et al.
Published: (2024)

Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model
by: Iwai, Shoma, et al.
Published: (2024)

Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem
by: Zhu, Qiwen, et al.
Published: (2024)

Adversarial Distortion Learning for Medical Image Denoising
by: Ghahremani, Morteza, et al.
Published: (2022)

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution
by: Han, Minghao, et al.
Published: (2025)

Full reference point cloud quality assessment using support vector regression
by: Watanabe, Ryosuke, et al.
Published: (2024)

Explicit Residual-Based Scalable Image Coding for Humans and Machines
by: Tatsumi, Yui, et al.
Published: (2025)

Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution
by: Yang, Cuixin, et al.
Published: (2024)

Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency
by: Sun, Wei, et al.
Published: (2024)

Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
by: Ballé, Jona, et al.
Published: (2024)

TRIQA: Image Quality Assessment by Contrastive Pretraining on Ordered Distortion Triplets
by: Sureddi, Rajesh, et al.
Published: (2025)

Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
by: Yan, Jiebin, et al.
Published: (2025)

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

Training-Free Continuous Bitrate Control for Scalable Image Coding for Humans and Machines
by: Tatsumi, Yui, et al.
Published: (2026)

Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective
by: Sun, Lingchen, et al.
Published: (2023)

FaSST: Fast Sparsifying Secondary Transform
by: Pakiyarajah, Darukeesan, et al.
Published: (2026)

DeepClean: Integrated Distortion Identification and Algorithm Selection for Rectifying Image Corruptions
by: Kapoor, Aditya, et al.
Published: (2024)

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
by: Zhou, Chuqin, et al.
Published: (2024)

Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
by: Li, Junhui, et al.
Published: (2024)

SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression
by: Cao, Linhan, et al.
Published: (2024)

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

All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
by: Zhang, Xu, et al.
Published: (2024)

Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets
by: Kamisli, Fatih, et al.
Published: (2024)

Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
by: Yan, Jiebin, et al.
Published: (2025)

2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction
by: Nakata, Atsuya, et al.
Published: (2024)

DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
by: Shi, Jinsong, et al.
Published: (2024)

Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review
by: Safayani, Mehran, et al.
Published: (2025)