Subspaces Clustering Approach to Lossy Image Compression [PDF]
Lecture Notes in Computer Science, 2014 In this contribution lossy image compression based on subspaces clustering is considered. Given a PCA factorization of each cluster into subspaces and a maximal compression error, we show that the selection of those subspaces that provide the optimal lossy image compression is equivalent to the 0-1 Knapsack Problem.
Przemysław Spurek +2 more
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Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems [PDF]
Sensors, 2014 Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image
Xiangwei Li +4 more
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l bnl compress: Lossy but not lossy compression, a python script to compress MX data [PDF]
Structural Dynamicsl_bnl_compress.py is a python script implementing the lossy compressions described in [1] for macromolecular crystallographic diffraction data. The lossy compressions use pixel-by-pixel binning, image-by-image summing, JPEG-2000 Daubechies (DB) wavelet ...
Herbert J Bernstein, Jean Jakoncic
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Unlocking the potential of digital pathology: Novel baselines for compression [PDF]
Journal of Pathology InformaticsDigital pathology offers a groundbreaking opportunity to transform clinical practice in histopathological image analysis, yet faces a significant hurdle: the substantial file sizes of pathological whole slide images (WSIs).
Maximilian Fischer +15 more
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Evaluation and analysis of image compression effect on neural network-based heart rate classification [PDF]
Scientific ReportsIn this study, we evaluated and analyzed the effects of image compression on a neural network (NN)-based heart rate (HR) classification system. An NN-based HR-estimation system classifies facial images into groups of HR intervals.
Tianyu Dong +3 more
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Adaptive Vector Quantization for Lossy Compression of Image Sequences
Algorithms, 2017 In this work, we present a scheme for the lossy compression of image sequences, based on the Adaptive Vector Quantization (AVQ) algorithm. The AVQ algorithm is a lossy compression algorithm for grayscale images, which processes the input data in a single-
Raffaele Pizzolante +2 more
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Accuracy analysis of lossless and lossy disparity map compression
Ain Shams Engineering Journal, 2022 In this paper, we analysed lossless and lossy compression of disparity (depth) images with low range resolution. For that goal, the well-known publicly available Middlebury dataset is used with stereo image pairs, their disparity ground truths and ...
Saad Merrouche +3 more
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Effect of Lossy JPEG Compression of an Image with Chromatic Aberrations on Target Measurement Accuracy [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 This paper reports an experiment conducted to investigate the effect of lossy JPEG compression of an image with chromatic aberrations on the measurement accuracy of target center by the intensity-weighted centroid method.
R. Matsuoka
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IWCD-PROPOSED IMAGE COMPRESSION METHOD BASED ON INTEGER WAVELET AND DCT [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2008 This paper describes a new lossy image compression decompression algorithm. In lossy compression techniques there are some loss of information, and image cannot be reconstructed exactly.This algorithm will be referred to as (IWDC), which stands for ...
Abdullah.M.Awad Al-Fahdawi
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A New MRF-Based Lossy Compression for Encrypted Binary Images
IEEE Access, 2020 Although there exist many researches on the compression of original non-encrypted binary images, few approaches focus on the compression of encrypted binary images.
Chuntao Wang +3 more
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