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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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Low-complexity two-step lossless depth coding using coarse Lossy coding
Texture and depth images are generally used for 3D viewing with advanced displays. Because sthe characteristics of a depth image are very different...
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Lossless audio CODEC using non-repeated dynamic block encoding
In this paper, a lossless audio codec with dynamic block coding has been proposed. In the present technique, audio signal is compressed by...
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A prediction-based lossless image compression procedure using dimension reduction and Huffman coding
Advanced therapeutic imaging innovation produces an immense amount of information, predominantly from processed tomography and other imaging...
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Toward high-capacity crypto-domain reversible data hiding with huffman-based lossless image coding
The rapid development of the Internet of Things has opened up commercial and economic opportunities, but there are also risks and threats to...
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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 near-lossless technique using the Huffman coding for enhancing the quality of image compression
Digital data compression aims to reduce the size of digital files in line with technological development. However, most data is distinguished by its...
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A string matching based ultra-low complexity lossless screen content coding technique
Screen contents have become a popular image type driven by the growing market for transferring display screen between devices, especially mobile...
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An improved lossless image compression algorithm based on Huffman coding
There is an increasing number of image data produced in our life nowadays, which creates a big challenge to store and transmit them. For some fields...
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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 learned pixel-by-pixel lossless image compression method with 59K parameters and parallel decoding
This paper considers lossless image compression and presents a learned compression system that can achieve state-of-the-art lossless compression...
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Combining Image Space and q-Space PDEs for Lossless Compression of Diffusion MR Images
Diffusion MRI is a modern neuroimaging modality with a unique ability to acquire microstructural information by measuring water self-diffusion at the...
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Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion
The artificial neural network-spiking neural network (ANN-SNN) conversion, as an efficient algorithm for deep SNNs training, promotes the performance...
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Entropy Coding
As the last stage before the code stream generated by the compression system, entropy coding aims to remove the information redundancy or coding...
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Lossless audio codec based on CNN, weighted tree and arithmetic encoding (LACCWA)
In this paper, an integrated lossless audio codec with improved compression ratio has been proposed using traditional methods as well as...
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Increasing the Huffman generation code algorithm to equalize compression ratio and time in lossless 16-bit data archiving
Compression is a process that is always carried out in terms of digitizing data, which is considered very important, especially in the development...
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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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Low complexity image coding technique for hyperspectral image sensors
Memory management and coding complexity are the major challenging issues of any hyperspectral image sensor. The hyperspectral image compression...
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Towards Clean Reversible Lossless Compression
Zip and unzip are everyday tools in today’s digital world. Since they are inherently inverse to each other, they are ideal for studying reversible...
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VLSI implementation of an energy-efficient color image compressor using improved block truncation coding and enhanced Golomb-rice coding for wireless sensor networks
The very large-scale integration implementation of a unique hardware-oriented image compression technique for wireless sensor networks (WSNs) is...
