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In this paper we propose a novel image representation called face X-ray for detecting forgery in face images. The face X-ray of an input face image is a greyscale image that reveals whether the input image can be decomposed into the…

Computer Vision and Pattern Recognition · Computer Science 2020-04-21 Lingzhi Li , Jianmin Bao , Ting Zhang , Hao Yang , Dong Chen , Fang Wen , Baining Guo

When we place a colored filter in front of a camera the effective camera response functions are equal to the given camera spectral sensitivities multiplied by the filter spectral transmittance. In this paper, we solve for the filter which…

Computer Vision and Pattern Recognition · Computer Science 2020-12-03 Graham D. Finlayson , Yuteng Zhu

With the headway of the advanced image handling software and altering tools, a computerized picture can be effectively controlled. The identification of image manipulation is vital in light of the fact that an image can be utilized as…

Multimedia · Computer Science 2017-03-31 Abhishek Kashyap , Rajesh Singh Parmar , Megha Agrawal , Hariom Gupta

In this work the method of masks, creating and using of inverted image masks, together with binary operation of image data are used in edge detection of binary images, monochrome images, which yields about 300 times faster than ordinary…

Computer Vision and Pattern Recognition · Computer Science 2014-01-22 Ayman M Bahaa-Eldeen , Abdel-Moneim A. Wahdan , Hani M. K. Mahdi

Image-based localization (IBL) aims to estimate the 6DOF camera pose for a given query image. The camera pose can be computed from 2D-3D matches between a query image and Structure-from-Motion (SfM) models. Despite recent advances in IBL,…

Computer Vision and Pattern Recognition · Computer Science 2019-08-20 Wentao Cheng , Weisi Lin , Kan Chen , Xinfeng Zhang

We present in this paper an image segmentation approach that combines a fuzzy semantic region classification and a context based region-growing. Input image is first over-segmented. Then, prior domain knowledge is used to perform a fuzzy…

Computer Vision and Pattern Recognition · Computer Science 2016-08-09 Mahaman Sani Chaibou , Karim Kalti , Bassel Soulaiman , Mohamed Ali Mahjoub

In an automated search system, similarity is a key concept in solving a human task. Indeed, human process is usually a natural categorization that underlies many natural abilities such as image recovery, language comprehension, decision…

Computer Vision and Pattern Recognition · Computer Science 2018-12-19 Yosr Ghozzi , Nesrine Baklouti , Hani Hagras , Mounir Ben Ayed , Adel M. Alimi

Polarisation Filter Array (PFA) cameras allow the analysis of light polarisation state in a simple and cost-effective manner. Such filter arrays work as the Bayer pattern for colour cameras, sharing similar advantages and drawbacks. Among…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Mara Pistellato , Filippo Bergamasco , Tehreem Fatima , Andrea Torsello

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

Image colorization is the process of colorizing grayscale images or recoloring an already-color image. This image manipulation can be used for grayscale satellite, medical and historical images making them more expressive. With the help of…

Computer Vision and Pattern Recognition · Computer Science 2023-09-27 Ahmed Samir Ragab , Shereen Aly Taie , Howida Youssry Abdelnaby

About 8% of the male population of the world are affected by a determined type of color vision disturbance, which varies from the partial to complete reduction of the ability to distinguish certain colors. A considerable amount of color…

Computer Vision and Pattern Recognition · Computer Science 2017-11-30 Jinmi Lee , Wellington Pinheiro dos Santos

In today's age of internet and social media, one can find an enormous volume of forged images on-line. These images have been used in the past to convey falsified information and achieve harmful intentions. The spread and the effect of the…

Computer Vision and Pattern Recognition · Computer Science 2017-04-06 Parag S. Chandakkar , Baoxin Li

Fuzzy systems concern fundamental methodology to represent and process uncertainty and imprecision in the linguistic information. The fuzzy systems that use fuzzy rules to represent the domain knowledge of the problem are known as Fuzzy…

Computer Vision and Pattern Recognition · Computer Science 2012-06-21 Koushik Mondal , Paramartha Dutta , Siddhartha Bhattacharyya

Image Fusion, a technique which combines complimentary information from different images of the same scene so that the fused image is more suitable for segmentation, feature extraction, object recognition and Human Visual System. In this…

Information Theory · Computer Science 2008-12-04 R. Balasubramanian , Gaurav Bhatnagar

Automatic colorization is the process of adding color to greyscale images. We condition this process on language, allowing end users to manipulate a colorized image by feeding in different captions. We present two different architectures…

Computer Vision and Pattern Recognition · Computer Science 2018-04-18 Varun Manjunatha , Mohit Iyyer , Jordan Boyd-Graber , Larry Davis

Image decomposition is a crucial subject in the field of image processing. It can extract salient features from the source image. We propose a new image decomposition method based on convolutional neural network. This method can be applied…

Computer Vision and Pattern Recognition · Computer Science 2022-08-04 Yu Fu , Xiao-Jun Wu , Josef Kittler

Polarisation imaging is used to distinguish objects and surface characteristics that are otherwise not visible with black-and-white or colour imaging. Full-Stokes polarisation imaging allows complex image processing like water glint…

Image compositing plays a vital role in photo editing. After inserting a foreground object into another background image, the composite image may look unnatural and inharmonious. When the foreground is photorealistic and the background is…

Computer Vision and Pattern Recognition · Computer Science 2023-11-16 Xudong Wang , Li Niu , Junyan Cao , Yan Hong , Liqing Zhang

Image triangulation, the practice of decomposing images into triangles, deliberately employs simplification to create an abstracted representation. While triangulating an image is a relatively simple process, difficulties arise when…

Computational Geometry · Computer Science 2024-08-30 Olivia Laske , Lori Ziegelmeier

Human posture recognition provides a dynamic field that has produced many methods. Using fuzzy subsets based data fusion methods to aggregate the results given by different types of recognition processes is a convenient way to improve…

Artificial Intelligence · Computer Science 2018-07-12 Stéphane Perrin , Eric Benoit , Didier Coquin