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A novel approach towards high-performance image compression using multilevel wavelet transformation for heterogeneous datasets
Multimedia information typically requires large storage capacity and transmission rate. Thus, multimedia data, which exist in various forms, such as...
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FANs: fully attentional networks for image compression
We propose a fully attentional networks model and achieve excellent results on top of both large-scale datasets and small-scale datasets to use as a...
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High-Performance Digital Image Processing
AbstractThe work briefly describes the activities of the Moscow Scientific School of Digital Image Processing, formed on the basis of a team led by...
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Low dynamic range discrete cosine transform (LDR-DCT) for high-performance JPEG image compression
In mathematical theory, the discrete cosine transform (DCT) is a lossless orthogonal transformation method which means it outputs exactly the same...
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Divergence Parametric Smoothing in Image Compression Algorithms
AbstractThe paper elaborates on methods of digital image compression. The focus is on the compression method that represents a raster image as a set...
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Block based learned image compression
Efficient image compression is very important for storage, retrieval, processing and transmission of image contents. The objective is to find a...
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An Integrated Approach for Lossless Image Compression Using CLAHE, Two-Channel Encoding and Adaptive Arithmetic Coding
Lossless image compression techniques play a crucial role in preserving image quality while reducing storage space and transmission bandwidth. This...
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A deep learning based multi-image compression technique
A multi-image compression technique compresses multiple images of the same or various sizes together to generate a common codebook. In multi-image...
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End-to-end optimized image compression with the frequency-oriented transform
Image compression constitutes a significant challenge amid the era of information explosion. Recent studies employing deep learning methods have...
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Deep learning-assisted medical image compression challenges and opportunities: systematic review
Over the preceding decade, there has been a discernible surge in the prominence of artificial intelligence, marked by the development of various...
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Low power high speed FPGA design of lossless medical image compression using optimal deep neural network
Medical image compression is vital for preserving image quality and optimizing storage and transmission in healthcare facilities. FPGA design faces...
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Dual-branch spectral–spatial feature extraction network for multispectral image compression
The advent of the information age and the continuous development of spectrum imaging technologies have both triggered an explosion of multispectral...
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An enhanced AMBTC for color image compression using color palette
Digital image has been used in various fields as an essential carrier. Many color images have been constantly produced since their more realistic...
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A new image compression-encryption scheme based on compressive sensing & classical AES algorithm
In recent years, many compressive sensing methods have been suggested to encrypt and compress images. However, these algorithms have some flaws in...
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An efficient image compression using modified embedded zero tree coding with SVD
The fast-growing web technology is more focused on develo** optimized image compression tools to increase the efficiency of search engines and data...
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Progressive image compression for Gaussian mixture model quartile intervals
In this paper, we proposed a novel deep image coding and decoding model for GMMQI (Gaussian mixture model quartile intervals, GMMQI) and a variable...
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Compression through extraction of learned parameters from images in de-correlated image space
Image compression is a class of algorithms that reduces the storage space requirement for a digital image. Lossy image compression techniques achieve...
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Improved discrete Tchebichef transform approximations for efficient image compression
In recent years, the Discrete Tchebichef Transform (DTT) has gained popularity as a signal processing tool for image and video compression due to its...
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GFSCompNet: remote sensing image compression network based on global feature-assisted segmentation
The proliferation of remote sensing image data in recent years has posed a pressing need for efficient compression techniques due to constrained...
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Metaheuristic-based energy-aware image compression for mobile app development
The widely applied JPEG standard has undergone recent efforts using population-based metaheuristic (PBMH) algorithms to optimise quantisation tables...
