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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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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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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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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...
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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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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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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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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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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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Real-time lossless image compression by dynamic Huffman coding hardware implementation
Over the decades, implementing information technology (IT) has become increasingly common, equating to an increasing amount of data that needs to be...
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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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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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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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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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Image compression and denoising using multiresolution region-based image description scheme
Lossy image compression removes redundant information which considerably reduces the size of files needed for storing images. Lossy compression at...
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Image encryption-compression method via encryption based sparse decomposition
This paper proposes an image compression and encryption scheme based on sparse decomposition and chaotic system. The proposed approach contains three...
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Distributed compression and decompression for big image data: JPEG and CCITT Group-3
In today’s era, digital data is being created and transmitted majorly in the form of images and videos. Storing such a huge number of images and...
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A unified efficient deep image compression framework and its application on human-centric Task
Image compression is a widely used technique to reduce the spatial redundancy in images. Recently, learning based image compression has achieved...
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CFA image compression using an efficient cascaded overlap** color transformation
Bayer Color-Filter-Array (CFA) is commonly used in single-chip digital image sensors as it efficiently approximates the physiology of the human eye....
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A comparative review and analysis of medical image encryption and compression techniques
Owing to the swift development of communication networks, there is a not able rise in the transfer of sensitive information, including military and...
