SOTAVerified

Image Compression

Image Compression is an application of data compression for digital images to lower their storage and/or transmission requirements.

Source: Variable Rate Deep Image Compression With a Conditional Autoencoder

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–475 of 1008 papers

TitleStatusHype
A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression—0
Fractional Calculus In Image Processing: A Review—0
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning—0
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs—0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
Towards improved lossy image compression: Human image reconstruction with public-domain images—0
FPGA-based Binocular Image Feature Extraction and Matching System—0
Hybrid Model-based / Data-driven Graph Transform for Image Coding—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
A Systematic Evaluation of Coding Strategies for Sparse Binary Images—0
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression—0
Hyperspectral Image Compression Using Implicit Neural Representation—0
Fourier Spectrum Discrepancies in Deep Network Generated Images—0
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression—0
Forward Error Correction applied to JPEG-XS codestreams—0
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization—0
Content-oriented learned image compression—0
Flow-Lenia.png: Evolving Multi-Scale Complexity by Means of Compression—0
FLLIC: Functionally Lossless Image Compression—0
Content Based Image Indexing and Retrieval—0
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering—0
A Lightweight Model for Perceptual Image Compression via Implicit Priors—0
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—0
Image Compression By Embedding Five Modulus Method Into JPEG—0
Optimizing Learned Image Compression on Scalar and Entropy-Constraint Quantization—0
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All datasetskodakImageNet32BSDS500Caltech101Cars-196CIFAR-10FER2013Food-101Oxford-IIIT Pet DatasetPCamSTL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STFBD-Rate over VTM-17.0-2.48—Unverified
2WACNNBD-Rate over VTM-17.0-2.95—Unverified
3ELICBD-Rate over VTM-17.0-5.95—Unverified
4MLICBD-Rate over VTM-17.0-8.05—Unverified
5SegPICBD-Rate over VTM-17.0-8.18—Unverified
6LIC-TCM LargeBD-Rate over VTM-17.0-10.14—Unverified
7MLIC+BD-Rate over VTM-17.0-11.39—Unverified
8MLIC++BD-Rate over VTM-17.0-13.39—Unverified
#ModelMetricClaimedVerifiedStatus
1PNGbpsp6.42—Unverified
2JPEG2000bpsp6.35—Unverified
3L3Cbpsp4.76—Unverified
4MS-PixelCNNbpsp3.95—Unverified
5iFlowbpsp3.88—Unverified
#ModelMetricClaimedVerifiedStatus
1RK-CCSNetAverage PSNR30.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,470—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,410—Unverified
#ModelMetricClaimedVerifiedStatus
1SUDHEER10%1—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,270—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,210—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,490—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified