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 726–750 of 1008 papers

TitleStatusHype
A Low Complexity VLSI Architecture for Multi-Focus Image Fusion in DCT Domain—0
A Modified No Search Algorithm for Fractal Image Compression—0
A Multiparametric Class of Low-complexity Transforms for Image and Video Coding—0
An Adaptive Statistical Non-uniform Quantizer for Detail Wavelet Components in Lossy JPEG2000 Image Compression—0
Analysis of Neural Image Compression Networks for Machine-to-Machine Communication—0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks—0
An Efficient Architecture and High-Throughput Implementation of CCSDS-123.0-B-2 Hybrid Entropy Coder Targeting Space-Grade SRAM FPGA Technology—0
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems—0
An End-to-End Real-World Camera Imaging Pipeline—0
An Estimation Method of Measuring Image Quality for Compressed Images of Human Face—0
A New Approach to Image Compression in Industrial Internet of Things—0
A New Image Codec Paradigm for Human and Machine Uses—0
A new image compression by gradient Haar wavelet—0
An image compression and encryption scheme based on deep learning—0
An Implementation of Vector Quantization using the Genetic Algorithm Approach—0
An Information-Theoretic Regularizer for Lossy Neural Image Compression—0
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding—0
A Novel Algorithm for Exact Concave Hull Extraction—0
A Novel Framework for Image-to-image Translation and Image Compression—0
A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval—0
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
Approximately Invertible Neural Network for Learned Image Compression—0
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression—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