Results 101 to 110 of about 11,907,247 (288)

Fractal Lossy Hyperspectral Image Coding Algorithm Based on Prediction

IEEE Access, 2017
At present, a hyperspectral image has a significant advantage in the aspect of application because of its high spectral resolution. However, owing to the limit of communication capacity, a hyperspectral image must be compressed. In this paper, we develop
Shiping Zhu, Xianzi Zong
doaj   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

A Lossy Compression Tolerant Data Hiding Method Based on JPEG and VQ

, 2010
A lossy compression tolerant data hiding method is proposed in this paper. The image which hides data is named a stego-image. Most of data hiding methods will lose some hidden data when the stego-image is compressed by iossy compression process. However,
黃仁俊; Hwang, Ren-junn; 施國琛; Shih, Timothy K.; Kao, Chuan-ho
core   +1 more source

BPG-Based Lossy Compression of Three-Channel Remote Sensing Images with Visual Quality Control

Remote Sensing
A tendency to increase the number of acquired remote sensing images and to make their average size larger has been observed. To manage such data, compression is needed, and lossy compression is often preferable.
Fangfang Li, Oleg Ieremeiev, Vladimir Lukin, Karen Egiazarian   +3 more
doaj   +1 more source

Impact of CCSDS-IDC and JPEG 2000 Compression on Image Quality and Classification

Journal of Electrical and Computer Engineering, 2012
This study measures the impact of both on-board and user-side lossy image compression (CCSDS-IDC and JPEG 2000) on image quality and classification. The Sentinel-2 Image Performance Simulator was modified to include these compression algorithms in order ...
Alaitz Zabala, Raffaele Vitulli, Xavier Pons   +2 more
doaj   +1 more source

Lossy Image Compression with Foundation Diffusion Models

AbstractIncorporating diffusion models in the image compression domain has the potential to produce realistic and detailed reconstructions, especially at extremely low bitrates. Previous methods focus on using diffusion models as expressive decoders robust to quantization errors in the conditioning signals.
Lucas Relic, Roberto Azevedo, Markus Gross 0001, Christopher Schroers   +3 more
openaire   +3 more sources

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

Visual saliency from image features with application to compression [PDF]

, 2012
Image feature point algorithms and their associated regional de-scriptors can be viewed as primitive detectors of visually-salient information.In this paper, a new method for constructing a visual attention probabilitymap using features is proposed ...
Robertson, Neil, Harding, P. J.
core   +1 more source

Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino, Lavanya Muthukumar, Evan L. Reynolds, Peter Todd, Sinem Ovunc, Sheng Chih Jin, Zitian Tang, Simone Thomas, PNRR Study Group, Ahmet Höke, Brian C. Callaghan, Sarah Berth, Vinay Chaudhry, David Cornblath, Leana Doherty, Lindsey Hayes, Hristelina Ilieva, Thomas Lloyd, Mohammad Khoshnoodi, Brett McCray, Brett Morrison, Bipasha Mukherjee‐Clavin, Lyle Ostrow, Michael Polydefkis, Ricardo Roda, Charlotte Sumner   +25 more
wiley   +1 more source

An End-to-End Deep Learning Image Compression Framework Based on Semantic Analysis

Applied Sciences, 2019
Lossy image compression can reduce the bandwidth required for image transmission in a network and the storage space of a device, which is of great value in improving network efficiency.
Cheng Wang, Yifei Han, Weidong Wang
doaj   +1 more source