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Since local feature detection has been one of the most active research areas in computer vision during the last decade, a large number of detectors have been proposed. The interest in feature-based applications continues to grow and has…

Computer Vision and Pattern Recognition · Computer Science 2016-05-20 Shoaib Ehsan , Adrian F. Clark , Ales Leonardis , Naveed ur Rehman , Klaus D. McDonald-Maier

Image denoising is a fundamental and challenging task in the field of computer vision. Most supervised denoising methods learn to reconstruct clean images from noisy inputs, which have intrinsic spectral bias and tend to produce…

Computer Vision and Pattern Recognition · Computer Science 2023-09-20 Yujin Wang , Lingen Li , Tianfan Xue , Jinwei Gu

Phase retrieval, a nonlinear problem prevalent in imaging applications, has been extensively studied using random models, some of which with i.i.d. sensing matrix components. While these models offer robust reconstruction guarantees, they…

Optics · Physics 2024-09-10 Zhiyuan Hu , Julián Tachella , Michael Unser , Jonathan Dong

Transformer-based object detectors (DETR) have shown significant performance across machine vision tasks, ultimately in object detection. This detector is based on a self-attention mechanism along with the transformer encoder-decoder…

Computer Vision and Pattern Recognition · Computer Science 2023-10-16 Zhao Ning Zou , Yuhang Zhang , Robert Wijaya

Textures are a vital aspect of creating visually appealing and realistic 3D models. In this paper, we study the problem of generating high-fidelity texture given shapes of 3D assets, which has been relatively less explored compared with…

Computer Vision and Pattern Recognition · Computer Science 2023-10-09 An-Chieh Cheng , Xueting Li , Sifei Liu , Xiaolong Wang

Fourier ptychography (FP) is a newly developed computational imaging approach that achieves both high resolution and wide field of view by stitching a series of low-resolution images captured under angle-varied illumination. So far, many…

Image and Video Processing · Electrical Eng. & Systems 2019-09-20 Yongbing Zhang , Yangzhe Liu , Xiu Li , Shaowei Jiang , Krishna Dixit , Xinfeng Zhang , Xiangyang Ji

Texture synthesis is widely used in the field of computer graphics, vision, and image processing. In the present paper, a texture synthesis algorithm is proposed for near-regular natural textures with the help of a representative periodic…

Computer Vision and Pattern Recognition · Computer Science 2017-06-23 V. Asha

This article addresses the problem of two- and higher dimensional pattern matching, i.e. the identification of instances of a template within a larger signal space, which is a form of registration. Unlike traditional correlation, we aim at…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-09-19 Luciano da Fontoura Costa , Erik Bollt

Texture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in handling 2D image textures. In contrast, many real-world textures contain meso-structure in the 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Yi-Hua Huang , Yan-Pei Cao , Yu-Kun Lai , Ying Shan , Lin Gao

Visual counterfeits are increasingly causing an existential conundrum in mainstream media with rapid evolution in neural image synthesis methods. Though detection of such counterfeits has been a taxing problem in the image forensics…

Computer Vision and Pattern Recognition · Computer Science 2022-08-25 Keshigeyan Chandrasegaran , Ngoc-Trung Tran , Alexander Binder , Ngai-Man Cheung

Images taken in dynamic scenes may contain unwanted motion blur, which significantly degrades visual quality. Such blur causes short- and long-range region-specific smoothing artifacts that are often directional and non-uniform, which is…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Fu-Jen Tsai , Yan-Tsung Peng , Yen-Yu Lin , Chung-Chi Tsai , Chia-Wen Lin

Blind face restoration is a challenging task due to the unknown and complex degradation. Although face prior-based methods and reference-based methods have recently demonstrated high-quality results, the restored images tend to contain…

Computer Vision and Pattern Recognition · Computer Science 2024-03-01 Guojing Ge , Qi Song , Guibo Zhu , Yuting Zhang , Jinglu Chen , Miao Xin , Ming Tang , Jinqiao Wang

Diffusion models have achieved remarkable success in image synthesis, but the generated high-quality images raise concerns about potential malicious use. Existing detectors often struggle to capture discriminative clues across different…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Daichi Zhang , Tong Zhang , Shiming Ge , Sabine Süsstrunk

The Fractional Fourier Transform (FRFT) has been playing a unique and increasingly important role in signal and image processing. In this letter, we investigate the property of frequency shift in two-dimensional FRFT (2D-FRFT) domain. It is…

Signal Processing · Electrical Eng. & Systems 2021-03-02 Lei Gao , Lin Qi , Ling Guan

We present a novel method for local image feature matching. Instead of performing image feature detection, description, and matching sequentially, we propose to first establish pixel-wise dense matches at a coarse level and later refine the…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Jiaming Sun , Zehong Shen , Yuang Wang , Hujun Bao , Xiaowei Zhou

Quarter sampling is a novel sensor design that allows for an acquisition of higher resolution images without increasing the number of pixels. When being used for video data, one out of four pixels is measured in each frame. Effectively,…

Image and Video Processing · Electrical Eng. & Systems 2022-03-18 Simon Grosche , Jürgen Seiler , André Kaup

Detecting and grounding multi-modal media manipulation (DGM^4) has become increasingly crucial due to the widespread dissemination of face forgery and text misinformation. In this paper, we present the Unified Frequency-Assisted transFormer…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Huan Liu , Zichang Tan , Qiang Chen , Yunchao Wei , Yao Zhao , Jingdong Wang

Tactile texture refers to the tangible feel of a surface and visual texture refers to see the shape or contents of the image. In the image processing, the texture can be defined as a function of spatial variation of the brightness intensity…

Computer Vision and Pattern Recognition · Computer Science 2019-04-16 Laleh Armi , Shervan Fekri-Ershad

Discrete Wavelet Transform (DWT) has been widely explored to enhance the performance of image superresolution (SR). Despite some DWT-based methods improving SR by capturing fine-grained frequency signals, most existing approaches neglect…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Peng Du , Hui Li , Han Xu , Paul Barom Jeon , Dongwook Lee , Daehyun Ji , Ran Yang , Feng Zhu

With the help of a simple model, we analyze Scanning Tunneling Microscopy images of simple and double moir\'e patterns resulting from misoriented bi- and tri-layers graphene stacks. It is found that the model reproduces surprisingly well…

Mesoscale and Nanoscale Physics · Physics 2014-09-11 Frédéric Joucken , Fernande Frising , Robert Sporken