Papers Image Compression
“Image Compression” 태그가 달린 논문 1,163편 · 필터 해제
DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
Diffusion-based image compression has recently shown outstanding perceptual fidelity, yet its practicality is hindered by prohibitive sampling overhead and high memory usage. Most existing diffusion codecs employ U-Net a…
Image CompressionA New Tensor Network: Tubal Tensor Train and Its Applications
We introduce the tubal tensor train (TTT) decomposition, a tensor-network model that combines the t-product algebra of the tensor singular value decomposition (T-SVD) with the low-order core structure of the tensor train…
Image CompressionAn FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS
Recently, progress has been made on the Intra Pattern Copy (IPC) tool for JPEG XS, an image compression standard designed for low-latency and low-complexity coding. IPC performs wavelet-domain intra compensation predicti…
Image CompressionRobust Provably Secure Image Steganography via Latent Iterative Optimization
We propose a robust and provably secure image steganography framework based on latent-space iterative optimization. Within this framework, the receiver treats the transmitted image as a fixed reference and iteratively re…
Image CompressionARCHE: Autoregressive Residual Compression with Hyperprior and Excitation
Recent progress in learning-based image compression has demonstrated that end-to-end optimization can substantially outperform traditional codecs by jointly learning compact latent representations and probabilistic entro…
Computational EfficiencyImage CompressionHiDE: Hierarchical Dictionary-Based Entropy Modeling for Learned Image Compression
Learned image compression (LIC) has achieved remarkable coding efficiency, where entropy modeling plays a pivotal role in minimizing bitrate through informative priors. Existing methods predominantly exploit internal con…
Image CompressionParallax to Align Them All: An OmniParallax Attention Mechanism for Distributed Multi-View Image Compression
Multi-view image compression (MIC) aims to achieve high compression efficiency by exploiting inter-image correlations, playing a crucial role in 3D applications. As a subfield of MIC, distributed multi-view image compres…
Image CompressionTextBoost: Boosting Scene Text Fidelity in Ultra-low Bitrate Image Compression
Ultra-low bitrate image compression faces a critical challenge: preserving small-font scene text while maintaining overall visual quality. Region-of-interest (ROI) bit allocation can prioritize text but often degrades gl…
Image CompressionProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization
Recent advances in generative image compression (GIC) have delivered remarkable improvements in perceptual quality. However, many GICs rely on large-scale and rigid models, which severely constrain their utility for flex…
Image CompressionCADC: Content Adaptive Diffusion-Based Generative Image Compression
Diffusion-based generative image compression has demonstrated remarkable potential for achieving realistic reconstruction at ultra-low bitrates. The key to unlocking this potential lies in making the entire compression p…
Image CompressionBiRQA: Bidirectional Robust Quality Assessment for Images
Full-Reference image quality assessment (FR IQA) is important for image compression, restoration and generative modeling, yet current neural metrics remain slow and vulnerable to adversarial perturbations. We present BiR…
Image Quality AssessmentImage CompressionSEG-JPEG: Simple Visual Semantic Communications for Remote Operation of Automated Vehicles over Unreliable Wireless Networks
Remote Operation is touted as being key to the rapid deployment of automated vehicles. Streaming imagery to control connected vehicles remotely currently requires a reliable, high throughput network connection, which can…
Semantic CommunicationImage CompressionDual-Representation Image Compression at Ultra-Low Bitrates via Explicit Semantics and Implicit Textures
While recent neural codecs achieve strong performance at low bitrates when optimized for perceptual quality, their effectiveness deteriorates significantly under ultra-low bitrate conditions. To mitigate this, generative…
Image CompressionOne-Step Diffusion for Perceptual Image Compression
Diffusion-based image compression methods have achieved notable progress, delivering high perceptual quality at low bitrates. However, their practical deployment is hindered by significant inference latency and heavy com…
Image CompressionLeveraging Second-Order Curvature for Efficient Learned Image Compression: Theory and Empirical Evidence
Training learned image compression (LIC) models entails navigating a challenging optimization landscape defined by the fundamental trade-off between rate and distortion. Standard first-order optimizers, such as SGD and A…
Image CompressionREMAC: Reference-Based Martian Asymmetrical Image Compression
To expedite space exploration on Mars, it is indispensable to develop an efficient Martian image compression method for transmitting images through the constrained Mars-to-Earth communication channel. Although the existi…
Image CompressionAdvances in Diffusion-Based Generative Compression
Popularized by their strong image generation performance, diffusion and related methods for generative modeling have found widespread success in visual media applications. In particular, diffusion methods have enabled ne…
Image CompressionImage GenerationSaliency Driven Imagery Preprocessing for Efficient Compression -- Industrial Paper
The compression of satellite imagery remains an important research area as hundreds of terabytes of images are collected every day, which drives up storage and bandwidth costs. Although progress has been made in increasi…
Image CompressionFrequent Pattern Mining approach to Image Compression
The paper focuses on Image Compression, explaining efficient approaches based on Frequent Pattern Mining(FPM). The proposed compression mechanism is based on clustering similar pixels in the image and thus using cluster …
Sequential Pattern MiningImage CompressionLossy Image Compression -- A Frequent Sequence Mining perspective employing efficient Clustering
This work explores the scope of Frequent Sequence Mining in the domain of Lossy Image Compression. The proposed work is based on the idea of clustering pixels and using the cluster identifiers in the compression. The DCT…
Image Compression