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Dynamic Neural Networks for Adaptive Implicit Image Compression
Compression with Implicit Neural Presentations (COIN) is a neural network image compression method based on multilayer perceptron (MLP). COIN encodes...
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Efficient 2D DCT architecture based on approximate compressors for image compression with HEVC intra-prediction
This study presents a design of two-dimensional (2D) discrete cosine transform (DCT) architecture to be used with high-efficiency video coding (HEVC)...
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Variable bit allocation method based on meta-heuristic algorithms for facial image compression
High spatial resolution is one of the most important factors in increasing image quality, but it increases the amount of storage memory. On the other...
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A simple and reliable approach to providing a visually lossless image compression
This paper presents an approach for providing the desired visually lossless quality of Joint Photographic Experts Group (JPEG) and Versatile Video...
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A channel-gained single-model network with variable rate for multispectral image compression in UAV air-to-ground remote sensing
Unmanned aerial vehicle (UAV) air-to-ground remote sensing technology, has the advantages of long flight duration, real-time image transmission, wide...
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A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations
In this paper, an efficient image encryption scheme based on a novel mixed linear–nonlinear coupled map lattice (NMLNCML) system and DNA operations...
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ROI and Non-ROI Image Compression Using Optimal Zero Tree Wavelet and Enhanced Convolutional Neural Network for MRI Images
Medical imaging systems generate enormous amounts of information that place a heavy burden on storage and transmission. As a result, image data...
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LUT-LIC: Look-Up Table-Assisted Learned Image Compression
Image compression is indispensable in many visual applications. Recently, learned image compression (LIC) using deep learning has surpassed...
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Deep-learning with context sensitive quantization and interpolation for underwater image compression and quality image restoration
Reconstructed images from deep learning-based compressed images are not suitable for underwater image analysis. Hence, this paper proposes a...
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Semantic Completion: Enhancing Image-Text Retrieval with Information Extraction and Compression
Image-text retrieval is an essential branch in the field of information retrieval, facing the serious challenge of the cross-modal semantic gap....
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Novel image compression-then-encryption scheme based on 2D cross coupled map lattice and compressive sensing
A 2D cross coupled map lattice (2D-CCML) model with large key spaces is constructed for image compression and encryption, and this model exhibits...
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AlphaVC: High-Performance and Efficient Learned Video Compression
Recently, learned video compression has drawn lots of attention and show a rapid development trend with promising results. However, the previous...
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An image compression-then-encryption algorithm using piecewise asymptotic deterministic random measurement matrix
A digital Image Compression Encryption Method (ICEM) is proposed in this work by using the Compressed Sensing (CS), two-dimensional...
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2C-Net: integrate image compression and classification via deep neural network
Providing effective support for intelligent vision tasks without image reconstruction can save numerous computational costs in the era of big data....
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Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience
This paper addresses the optimization of desktop image presentation in remote desktop scenarios. Remote desktop tools, essential for work efficiency,...
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An optimal adaptive reweighted sampling-based adaptive block compressed sensing for underwater image compression
The use of Block Compressed Sensing (BCS) as an alternative to conventional Compressed Sensing (CS) in image sampling and acquisition has gained...
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Joint image compression and encryption using set partitioning in hierarchical tree in MSVD domain
This paper presents a joint compression and encryption technique using Set Partitioning in Hierarchical Tree (SPIHT) in Multi-resolution Singular...
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Semantic Importance-Based Deep Image Compression Using a Generative Approach
Semantic image compression can greatly reduce the amount of transmitted data by representing and reconstructing images using semantic information....
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Image compression-encryption algorithm based on chaos and compressive sensing
An image encryption scheme based on compressive sensing (CS) and chaos is proposed. Firstly, the plain image is transformed into the sparse...
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End-to-End Image Compression Through Machine Semantics
With the increasing demand for AI automated analysis, machine semantics have replaced signals as a new focus in visual information compression. In...