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A new efficient referential genome compression technique for FastQ files
Hospitals and medical laboratories create a tremendous amount of genome sequence data every day for use in research, surgery, and illness diagnosis....
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Structure-Based Communication Trace Compression
Communication traces are increasingly important, both for the performance analysis and optimization of parallel applications and for designing...
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Image-centric compression of protein structures improves space savings
BackgroundBecause of the rapid generation of data, the study of compression algorithms to reduce storage and transmission costs is important to...
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A video compression-cum-classification network for classification from compressed video streams
Video analytics can achieve increased speed and efficiency by operating directly on the compressed video format, thereby alleviating the decoding...
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Lossy Compression Effect on Color and Texture Based Image Retrieval Performance
Image retrieval and compression are rigorous research field to solve the problem of storage and management of digital image. Several digital...
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Vision Transformer Compression and Architecture Exploration with Efficient Embedding Space Search
This paper addresses theoretical and practical problems in the compression of vision transformers for resource-constrained environments. We found...
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Spiral Fractal Compression in Transform Domains for Underwater Communication
This paper presents a simplified fractal image compression algorithm, which is implemented on a block-by-block basis. This algorithm achieves a...
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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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Generation of Defects during Shock Compression of Aluminum
AbstractMeasurements of the electrical resistance of shock-compressed aluminum are used in the present study to estimate the concentration of point...
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Deep Feature selection
Feature selection plays a crucial role in machine learning by identifying the most relevant and informative features from the input data, leading to...
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Attention capture by own name decreases with speech compression
Auditory stimuli that are relevant to a listener have the potential to capture focal attention even when unattended, the listener’s own name being a...
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Quality controlled 2D ECG compression using adaptive fourier decomposition
This work presents the recently developed Adaptive Fourier Decomposition (AFD) approach-based ECG compression technique that ensures considerable...
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Investigation on Pore-fracture of Coal and Its Influence Mechanism on Uniaxial Compression Failure Behavior
Pore-fracture is an important component of coal, affecting the uniaxial compression failure behavior. However, it is difficult to effectively...
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Face image deblurring with feature correction and fusion
The key to image deblurring is to extract and screen valid information from blurred images and use this information to restore sharp images. Given...
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Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Accurate diagnosis of disease often depends on the exhaustive examination of Whole Slide Images (WSI) at microscopic resolution. Efficient handling...
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CA Breast with Spinal Cord Compression
Metastatic spinal cord compression (MSCC) is one of the most dreaded yet rare complications of carcinoma. The National Institute for Health and Care...
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An image compression encryption scheme based on chaos and SPECK-DCT hybrid coding
In recent years, image compression and encryption joint algorithms usually focus on only one kind of lossless compression or lossless compression,...
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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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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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CESCAL: A joint compression-encryption scheme based on convolutional autoencoder and logistic map
In the modern digital world, it is getting harder to share voluminous data with high dimensions, over the internet with adequate security. Images...
