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Image content-dependent steerable kernels
Attention mechanism plays an essential role in many tasks such as image classification, object detection, and instance segmentation. However,...
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Boosting deep neural networks with geometrical prior knowledge: a survey
Deep neural networks achieve state-of-the-art results in many different problem settings by exploiting vast amounts of training data. However,...
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Image forgery detection using image similarity
Ideally, sophisticated image forgery methods leave no perceptible evidence of tampering. In response to such stringent context, researchers have...
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CoDIQE3D: A completely blind, no-reference stereoscopic image quality estimator using joint color and depth statistics
In this paper, we present an unsupervised, completely blind, no-reference (NR) stereoscopic (S3D) image quality prediction model to assess the...
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Wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection
Epidemiological studies indicate that microfractures (cracks) are the third most common cause of tooth loss in industrialized countries. An...
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Copy–move forgery detection in digital image forensics: A survey
The detection of copy-move forgeries has been of utmost relevance in the field of digital image forensics because of the explosive growth of image...
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Content Based Medical Image Retrieval
Modern healthcare relies heavily on medical imaging, and as a result of its extensive use, image databases, picture archiving, and picture...
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Performance enhancement of SVD based dual image watermarking in wavelet domain using PSO and JAYA optimization and their comparison under hybrid attacks
In this paper, a dual image watermarking technique is proposed to secure the data, which utilizes the property of lifting wavelet transformation...
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Trends and challenges of image analysis in facial emotion recognition: a review
In the field of pattern recognition, facial expression recognition (FER) has a significant influence, and researchers are working hard to develop a...
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Review on secure traditional and machine learning algorithms for age prediction using IRIS image
Iris recognition is a secure and best-chosen biometric application in the digital world because of its unique characteristics. Day by day, the...
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Image splicing detection technique based on Illumination-Reflectance model and LBP
A Copy-create digital image forgery is image tampering that merges two or more areas of images from different sources into one composite image; it is...
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Canonical Retina-to-Cortex Vision Model Ready for Automatic Differentiation
Canonical vision models of the retina-to-V1 cortex pathway consist of cascades of several Linear+Nonlinear layers. In this setting, parameter tuning...
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Saliency prediction based on multi-channel models of visual processing
Visual attention is one of the most significant characteristics for selecting and understanding the outside redundancy world. The human vision system...
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On measuring and employing texture directionality for image classification
Directionality is useful in many computer vision, pattern recognition, visualization, and multimedia applications since it is considered as an...
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Particle gradient descent model for point process generation
This paper presents a statistical model for stationary ergodic point processes, estimated from a single realization observed in a square window. With...
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Chroma key foreground forgery detection under various attacks in digital video based on frame edge identification
Chroma key foreground forgery is the most common forgery to manipulate the contents of a digital video. This kind of video can be presented in courts...
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An objective method to evaluate exemplar‐based inpainted images quality using Jaccard index
Objective evaluation of images is one of the most essential and practical aspects of image inpainting. The existing objective evaluation methods of...
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A Deep Learning-Based Method for Image Tampering Detection
This paper proposes a method to detect the fake objects in images by combining You Only Look Once (YOLO) to define the objects and image...
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Survey of deep emotion recognition in dynamic data using facial, speech and textual cues
With the advancement of multimedia and human-computer interaction, it has become increasingly crucial to perceive people’s emotional states in...
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An improved detection of blind image forgery using hybrid deep belief network and adaptive fuzzy clustering
Blind image forgery prediction in the field of image forgery is difficult. Hence, it is the major attention for the investigators recently. This work...
