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This paper presents a novel reversible data hiding (RDH) algorithm for gray-scaled images, in which the prediction-error of prediction error (PPE) of a pixel is used to carry the secret data. In the proposed method, the pixels to be…

Multimedia · Computer Science 2016-09-26 Han-Zhou Wu , Hong-Xia Wang , Yun-Qing Shi

Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructing images of the electrical conductivity of tissues and materials. It is popular in diverse application areas, from medical imaging to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Shuaikai Shi , Ruiyuan Kang , Panos Liatsis

The sheer volume and size of histopathological images (e.g.,10^6 MPixel) underscores the need for faster and more accurate Regions-of-interest (ROI) detection algorithms. In this paper, we propose such an algorithm, which has four main…

Computer Vision and Pattern Recognition · Computer Science 2017-04-10 Li Sulimowicz , Ishfaq Ahmad

We introduce a new multi-dimensional nonlinear embedding -- Piecewise Flat Embedding (PFE) -- for image segmentation. Based on the theory of sparse signal recovery, piecewise flat embedding with diverse channels attempts to recover a…

Computer Vision and Pattern Recognition · Computer Science 2018-08-13 Chaowei Fang , Zicheng Liao , Yizhou Yu

End-to-End (E2E) unrolled optimization frameworks show promise for Magnetic Resonance (MR) image recovery, but suffer from high memory usage during training. In addition, these deterministic approaches do not offer opportunities for…

Image and Video Processing · Electrical Eng. & Systems 2024-02-09 Jyothi Rikhab Chand , Mathews Jacob

Iterative phase retrieval algorithms are widely used in digital optics for their efficiency and simplicity. Conventionally, these algorithms do not consider aberrations as they assume an ideal, aberration-free optical system. Here, we…

Optics · Physics 2025-02-10 Dylan Brault , Corinne Fournier , Tatiana Latychevskaia

Incomplete multi-view clustering presents significant challenges due to missing views. Although many existing graph-based methods aim to recover missing instances or complete similarity matrices with promising results, they still face…

Machine Learning · Computer Science 2025-01-22 Xinxin Wang , Yongshan Zhang , Yicong Zhou

As a burgeoning technique, out-of-focus electron ptychography offers the potential for rapidly imaging atomic-scale large fields of view (FoV) using a single diffraction dataset. However, achieving robust out-of-focus ptychographic…

In surrogate modeling, polynomial chaos expansion (PCE) is popularly utilized to represent the random model responses, which are computationally expensive and usually obtained by deterministic numerical modeling approaches including finite…

Computation · Statistics 2020-06-01 Z. Liu , D. Lesselier , B. Sudret , J. Wiart

Electrochromic optical recording (ECORE) is a label-free method that utilizes electrochromism to optically detect electrical signals in biological cells with a high signal-to-noise ratio and is suitable for long-term recording. However,…

A suite of acquisition applications related to the 4D-STEM technique is presented as a software package written within the Digital Micrograph environment, which is a widely used software platform in worldwide electron microscopy…

In tomographic imaging, anatomical structures are reconstructed by applying a pseudo-inverse forward model to acquired signals. Geometric information within this process is usually depending on the system setting only, i. e., the scanner…

Image and Video Processing · Electrical Eng. & Systems 2020-06-19 Alexander Preuhs , Michael Manhart , Philipp Roser , Elisabeth Hoppe , Yixing Huang , Marios Psychogios , Markus Kowarschik , Andreas Maier

Positron emission tomographs (PET) do not measure an image directly. Instead, they measure at the boundary of the field-of-view (FOV) of PET tomograph a sinogram that consists of measurements of the sums of all the counts along the lines…

With the emergence of light field imaging in recent years, the compression of its elementary image array (EIA) has become a significant problem. Our coding framework includes modeling and reconstruction. For the modeling, the…

Image and Video Processing · Electrical Eng. & Systems 2021-08-24 Boning Liu , Yan Zhao , Xiaomeng Jiang , Shigang Wang , Jian Wei

Ill-posed image reconstruction problems appear in many scenarios such as remote sensing, where obtaining high quality images is crucial for environmental monitoring, disaster management and urban planning. Deep learning has seen great…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Andrew Wang , Mike Davies

Foundation models, including language models, e.g., GPT, and vision models, e.g., CLIP, have significantly advanced numerous biomedical tasks. Despite these advancements, the high inference latency and the "overthinking" issues in model…

Artificial Intelligence · Computer Science 2025-03-05 Zaifu Zhan , Shuang Zhou , Huixue Zhou , Zirui Liu , Rui Zhang

In recent years, histopathology images have been increasingly used as a diagnostic tool in the medical field. The process of accurately diagnosing a biopsy sample requires significant expertise in the field, and as such can be…

Image and Video Processing · Electrical Eng. & Systems 2019-09-24 Alison K. Cheeseman , Hamid Tizhoosh , Edward R. Vrscay

We present PIE, a scalable routing scheme that achieves 100% packet delivery and low path stretch. It is easy to implement in a distributed fashion and works well when costs are associated to links. Scalability is achieved by using virtual…

Networking and Internet Architecture · Computer Science 2013-05-10 Julien Herzen , Cedric Westphal , Patrick Thiran

Recent advances in scanning tunneling and transmission electron microscopies (STM and STEM) have allowed routine generation of large volumes of imaging data containing information on the structure and functionality of materials. The…

Disordered Systems and Neural Networks · Physics 2021-06-24 Maxim Ziatdinov , Chun Yin Wong , Sergei V. Kalinin

Coherent diffractive imaging (CDI) provides new opportunities for high resolution X-ray imaging with simultaneous amplitude and phase contrast. Extensions to CDI broaden the scope of the technique for use in a wide variety of experimental…

Optics · Physics 2016-01-20 Matthew H. Seaberg , Alexandre d'Aspremont , Joshua J. Turner