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Digital image forensics aims to detect images that have been digitally manipulated. Realistic image forgeries involve a combination of splicing, resampling, region removal, smoothing and other manipulation methods. While most detection…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Lakshmanan Nataraj , Michael Goebel , Tajuddin Manhar Mohammed , Shivkumar Chandrasekaran , B. S. Manjunath

Image distortion classification and detection is an important task in many applications. For example when compressing images, if we know the exact location of the distortion, then it is possible to re-compress images by adjusting the local…

Computer Vision and Pattern Recognition · Computer Science 2018-05-29 Namhyuk Ahn , Byungkon Kang , Kyung-Ah Sohn

Most malicious photo manipulations are created using standard image editing tools, such as Adobe Photoshop. We present a method for detecting one very popular Photoshop manipulation -- image warping applied to human faces -- using a model…

Computer Vision and Pattern Recognition · Computer Science 2019-09-06 Sheng-Yu Wang , Oliver Wang , Andrew Owens , Richard Zhang , Alexei A. Efros

Symmetry is an important composition feature by investigating similar sides inside an image plane. It has a crucial effect to recognize man-made or nature objects within the universe. Recent symmetry detection approaches used a smoothing…

Computer Vision and Pattern Recognition · Computer Science 2017-04-24 Mohamed Elawady , Olivier Alata , Christophe Ducottet , Cecile Barat , Philippe Colantoni

In this article, a new scanning electron microscopy (SEM) image composition technique is described, which can significantly reduce drift related image corruptions. Drift-distortion commonly causes blur and distortions in the SEM images.…

Instrumentation and Detectors · Physics 2010-08-09 Petr Cizmar , Andras E. Vladar , Michael T. Postek

Image forgery detection is the task of detecting and localizing forged parts in tampered images. Previous works mostly focus on high resolution images using traces of resampling features, demosaicing features or sharpness of edges. However,…

Computer Vision and Pattern Recognition · Computer Science 2018-02-06 Zhongping Zhang , Yixuan Zhang , Zheng Zhou , Jiebo Luo

Over-segmentation of an image into superpixels has become a useful tool for solving various problems in image processing and computer vision. Reflection symmetry is quite prevalent in both natural and man-made objects and is an essential…

Computer Vision and Pattern Recognition · Computer Science 2018-08-13 Rajendra Nagar , Shanmuganathan Raman

Resampling is an important signature of manipulated images. In this paper, we propose two methods to detect and localize image manipulations based on a combination of resampling features and deep learning. In the first method, the Radon…

The quality of image generation and manipulation is reaching impressive levels, making it increasingly difficult for a human to distinguish between what is real and what is fake. However, deep networks can still pick up on the subtle…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Lucy Chai , David Bau , Ser-Nam Lim , Phillip Isola

Image Copy Detection (ICD) aims to identify manipulated content between image pairs through robust feature representation learning. While self-supervised learning (SSL) has advanced ICD systems, existing view-level contrastive methods…

Computer Vision and Pattern Recognition · Computer Science 2026-02-26 Yichen Lu , Siwei Nie , Minlong Lu , Xudong Yang , Xiaobo Zhang , Peng Zhang

Image stitching is typically decomposed into three phases: registration, which aligns the source images with a common target image; seam finding, which determines for each target pixel the source image it should come from; and blending,…

Computer Vision and Pattern Recognition · Computer Science 2020-11-25 Charles Herrmann , Chen Wang , Richard Strong Bowen , Emil Keyder , Ramin Zabih

Changing facial expressions, gestures, or background details may dramatically alter the meaning conveyed by an image. Notably, recent advances in diffusion models greatly improve the quality of image manipulation while also opening the door…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Alex Costanzino , Woody Bayliss , Juil Sock , Marc Gorriz Blanch , Danijela Horak , Ivan Laptev , Philip Torr , Fabio Pizzati

Since images are used as evidence in many cases, validation of digital images is essential. Copy-move forgery is a special kind of manipulation in which some parts of an image is copied and pasted into another part of the same image.…

Computer Vision and Pattern Recognition · Computer Science 2019-03-19 Saba Salehi , Ahmad Mahmoodi-Aznaveh

Sun Glare widely exists in the images captured by unmanned ground and aerial vehicles performing in outdoor environments. The existence of such artifacts in images will result in wrong feature extraction and failure of autonomous systems.…

Robotics · Computer Science 2021-10-14 Mahdi Abolfazli Esfahani , Han Wang

Nowadays, digital content is widespread and simply redistributable, either lawfully or unlawfully. For example, after images are posted on the internet, other web users can modify them and then repost their versions, thereby generating…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 K. K. Thyagharajan , G. Kalaiarasi

In existing splicing forgery datasets, the insufficient semantic variety of spliced regions causes trained detection models to overfit semantic features rather than learn genuine splicing traces. Meanwhile, the lack of a reasonable…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Jiaming Liang , Yuwan Xue , Haowei Liu , Zhenqi Dai , Yu Liao , Rui Wang , Weihao Jiang , Yaping Liu , Zhikun Chen , Guoxiao Liu , Bo Liu , Xiuli Bi

This paper presents a blind detection and compensation technique for camera lens geometric distortions. The lens distortion introduces higher-order correlations in the frequency domain and in turn it can be detected using higher-order…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Lili Ma , YangQuan Chen , Kevin L. Moore

During the investigation of criminal activity when evidence is available, the issue at hand is determining the credibility of the video and ascertaining that the video is real. Today, one way to authenticate the footage is to identify the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Akash Nagaraj , Mukund Sood , Vivek Kapoor , Yash Mathur , Bishesh Sinha

With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy-clone, object splicing, and removal, which mislead the viewers. In contrast, the…

Computer Vision and Pattern Recognition · Computer Science 2019-06-26 Jawadul H. Bappy , Cody Simons , Lakshmanan Nataraj , B. S. Manjunath , Amit K. Roy-Chowdhury

The elementary operation of cropping underpins nearly every computer vision system, ranging from data augmentation and translation invariance to computational photography and representation learning. This paper investigates the subtle…

Computer Vision and Pattern Recognition · Computer Science 2021-09-07 Basile Van Hoorick , Carl Vondrick