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This article was withdrawn by the arXiv.org administrators since it plagiarizes math.AT/0401211.

Geometric Topology · Mathematics 2007-05-23 Pratip Chakraborty , Unmesh Ghoshdastider

This article has been removed by arXiv administrators due to a claim of copyright infringement

Computer Vision and Pattern Recognition · Computer Science 2021-11-04 Hailun Zhang

This article has been removed by arXiv administrators due to falsified authorship.

Applications · Statistics 2019-03-05 V. Tadayon

As deep neural networks (DNNs) have been integrated into critical systems, several methods to attack these systems have been developed. These adversarial attacks make imperceptible modifications to an image that fool DNN classifiers. We…

Computer Vision and Pattern Recognition · Computer Science 2018-03-05 Aaditya Prakash , Nick Moran , Solomon Garber , Antonella DiLillo , James Storer

Small compression noises, despite being transparent to human eyes, can adversely affect the results of many image restoration processes, if left unaccounted for. Especially, compression noises are highly detrimental to inverse operators of…

Computer Vision and Pattern Recognition · Computer Science 2016-01-08 Xiao Shu , Xiaolin Wu

JPEG compression adopts the quantization of Discrete Cosine Transform (DCT) coefficients for effective bit-rate reduction, whilst the quantization could lead to a significant loss of important image details. Recovering compressed JPEG…

Image and Video Processing · Electrical Eng. & Systems 2024-05-06 Mingyu Ouyang , Zhenzhong Chen

The paper introduces the idea of non-uniform quantization in the detail components of wavelet transformed image. It argues that most of the coefficients of horizontal, vertical and diagonal components lie near to zeros and the coefficients…

Multimedia · Computer Science 2013-06-13 Madhur Srivastava , Prasanta K. Panigrahi

Identifying the quality factor of JPEG images is very useful for applications in digital image forensics. Though several command-line tools exist and are used in widely used software such as \emph{GIMP} (GNU Image Manipulation Program), the…

Image and Video Processing · Electrical Eng. & Systems 2018-02-06 Rémi Cogranne

Currently, there is a high demand for neural network-based image compression codecs. These codecs employ non-linear transforms to create compact bit representations and facilitate faster coding speeds on devices compared to the hand-crafted…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Panqi Jia , Jue Mao , Esin Koyuncu , A. Burakhan Koyuncu , Timofey Solovyev , Alexander Karabutov , Yin Zhao , Elena Alshina , Andre Kaup

The paper is withdrawn by the authors and replaced be an improved and extended version arxiv: 0812.2968

Mathematical Physics · Physics 2008-12-22 S. Molchanov , B. Vainberg

Scalable image compression is a technique that progressively reconstructs multiple versions of an image for different requirements. In recent years, images have increasingly been consumed not only by humans but also by image recognition…

Image and Video Processing · Electrical Eng. & Systems 2025-09-01 Yui Tatsumi , Ziyue Zeng , Hiroshi Watanabe

Lossless image coding is a crucial task especially in the medical area, e.g., for volumes from Computed Tomography or Magnetic Resonance Tomography. Besides lossless coding, compensated wavelet lifting offers a scalable representation of…

Image and Video Processing · Electrical Eng. & Systems 2023-01-12 Wolfgang Schnurrer , Tobias Tröger , Thomas Richter , Jürgen Seiler , André Kaup

By taking into account the properties and limitations of the human visual system, images can be more efficiently compressed, colors more accurately reproduced, prints better rendered. To show all these advantages in this paper new adapted…

Computer Vision and Pattern Recognition · Computer Science 2015-03-13 Jaswinder Singh Dilawari , Ravinder Khanna

Document manipulation localization models achieve strong performance on public benchmarks yet fail to generalize to operational document workflows. We identify a critical and overlooked source of this gap: the mismatch between the narrow…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Kylian Ronfleux-Corail , Guillaume Bernard , Mickaël Coustaty , Nicolas Sidère

Image copy detection and retrieval from large databases leverage two components. First, a neural network maps an image to a vector representation, that is relatively robust to various transformations of the image. Second, an efficient but…

Information Retrieval · Computer Science 2022-10-20 Pierre Fernandez , Matthijs Douze , Hervé Jégou , Teddy Furon

The paper presents a non-uniform quantization method for the Detail components in the JPEG2000 standard. Incorporating the fact that the coefficients lying towards the ends of the histogram plot of each Detail component represent the…

Multimedia · Computer Science 2014-08-18 Madhur Srivastava , Satish K. Singh , Prasanta K. Panigrahi

The Block Transform Coded, JPEG- a lossy image compression format has been used to keep storage and bandwidth requirements of digital image at practical levels. However, JPEG compression schemes may exhibit unwanted image artifacts to…

Graphics · Computer Science 2012-08-10 Sukhpal Singh

Group sparse representation has shown promising results in image debulrring and image inpainting in GSR [3] , the main reason that lead to the success is by exploiting Sparsity and Nonlocal self-similarity (NSS) between patches on natural…

Computer Vision and Pattern Recognition · Computer Science 2022-12-23 Luoyu Chen , Fei Wu

This results in this paper have been merged with the result in arXiv:1003.0167. The authors would like to withdraw this version. Please see arXiv:1008.5356 for the merged version.

Data Structures and Algorithms · Computer Science 2010-09-07 Jian Li , Julián Mestre

The ISO/IEC JPEG 2000 image coding standard is a family of source coding algorithms targeting high-resolution image communications. JPEG 2000 features highly scalable embedded coding features that allow one to interactively zoom out to…

Information Theory · Computer Science 2014-10-24 Christopher M. Brislawn , Jonathan L. Woodring , Susan M. Mniszewski , David E. DeMarle , James P. Ahrens