Hybrid Adaptive Lossless Image Compression Based on Discrete Wavelet Transform [PDF]
Entropy (Basel), 2020 A new hybrid transform for lossless image compression exploiting a discrete wavelet transform (DWT) and prediction is the main new contribution of this paper. Simple prediction is generally considered ineffective in conjunction with DWT but we applied it
R. Starosolski
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Design of a Lossless Image Compression System for Video Capsule Endoscopy and Its Performance in In-Vivo Trials [PDF]
Sensors, 2014 In this paper, a new low complexity and lossless image compression system for capsule endoscopy (CE) is presented. The compressor consists of a low-cost YEF color space converter and variable-length predictive with a combination of Golomb-Rice and unary ...
Tareq H. Khan, Khan A. Wahid
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Improved Median Edge Detection (iMED) for Lossless Image Compression
Image Analysis and Stereology, 2023 A wide variety of applications are used in lossless image compression models, especially in medical, space, and aerial imaging domains. Predictive coding improves the performance of lossless image compression, which highly relies on entropy error.
Muhammad Shoib Amin +4 more
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LC-TMNet: learned lossless medical image compression with tunable multi-scale network [PDF]
PeerJ Computer ScienceIn medicine, high-quality images are crucial for accurate clinical diagnosis, making lossless compression essential to preserve image integrity. Neural networks, with their powerful probabilistic estimation capabilities, seamlessly integrate with entropy
Hengrui Liao, Yue Li
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Visibility Metric for Visually Lossless Image Compression
Picture Coding Symposium, 2019 Encoding images in a visually lossless manner helps to achieve the best trade-off between image compression performance and quality and so that compression artifacts are invisible to the majority of users. Visually lossless encoding can often be achieved
Nanyang Ye +2 more
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A comparative analysis of the state-of-the-art lossless image compression techniques [PDF]
SHS Web of Conferences, 2022 Lossless data reduction is essential for data transmission over the Internet and the storage of data in a digital device when data loss is not permitted. The application of image compression is essential for image storing, image classification, and image
Rahman Atiqur +2 more
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Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Lossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing, precision engineering and scientific research.
Yuanchao Bai +5 more
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LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network [PDF]
Computer Vision and Pattern Recognition, 2021 Recent learning-based lossless image compression methods encode an image in the unit of subimages and achieve comparable performances to conventional non-learning algorithms.
Hochang Rhee, Y. Jang, Seyun Kim, N. Cho
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Learned Lossless Image Compression Through Interpolation With Low Complexity [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2022 With the increasing popularity of deep learning in image processing, many learned lossless image compression methods have been proposed recently.
Fatih Kamisli
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Lossless data compression of grid-based digital elevation models: A png image format evaluation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 At present, computers, lasers, radars, planes and satellite technologies make possible very fast and accurate topographic data acquisition for the production of maps. However, the problem of managing and manipulating this data efficiently remains.
G. Scarmana
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