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A replay attack detection scheme based on perceptual image hashing
Perceptual image hashing has mainly been used in the literature to authenticate images or to identify similar contents for image copy detection. In...
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Optimized RainDNet: an efficient image deraining method with enhanced perceptual quality
RainDNet is an advanced image deraining model that refines the “Multi-Stage Progressive Image Restoration Network” (MPRNet) for superior...
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A perceptual entanglement-based image authentication with tamper localisation
With the recent development in image editing tools the content of digital images can be easily manipulated. Research efforts are being deployed to...
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Iterative shrinkage thresholding-based anti-multi-noise compression perceptual image reconstruction network
Telemedicine imaging services usually require wireless transmission of a large number of medical images MRI/CT, etc., in the network, which are...
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CD-iNet: Deep Invertible Network for Perceptual Image Color Difference Measurement
Image color difference (CD) measurement, a crucial concept in color science and imaging technology, aims to quantify the perceived difference between...
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An Image Perceptual Hashing Algorithm Based on Convolutional Neural Networks
The conventional perceptual hashing algorithms are constrained to a singular global feature extraction algorithm and lack efficient scalability...
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HVS-inspired adversarial image generation with high perceptual quality
Adversarial images are able to fool the Deep Neural Network (DNN) based visual identity recognition systems, with the potential to be widely used in...
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Perceptual cue-guided adaptive image downscaling for enhanced semantic segmentation on large document images
Image downscaling is an essential operation to reduce spatial complexity for various applications and is becoming increasingly important due to the...
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Image perceptual hashing for content authentication based on Watson’s visual model and LLE
Image perceptual hashing has been widely used in image content authentication. In order to extract hashing sequences that are more consistent with...
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PIH-mSCM: a modified spiking cortical model for perceptual image hashing and its application to copy detection
For one of the most crucial copyright protection of multimedia content, copy image detection necessitates feature extraction and feature matching....
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Seamless Image Editing for Perceptual Size Restoration Based on Seam Carving
Thing of interest (ToI) in a photograph may be perceived as smaller than being perceived from the real scene due to the discrepancy between the...
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Improved two-stage image inpainting with perceptual color loss and modified region normalization
In this work, we propose a two-stage architecture to perform image inpainting from coarse to fine. The framework extracts advantages from different...
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Perceptual Blind Panoramic Image Quality Assessment Based on Super-Pixel
Blind objective quality assessment of panoramic images (PIQA) is a great challenge to perform highly consistent with human perception without the...
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Misalignment Insensitive Perceptual Metric for Full Reference Image Quality Assessment
Full-reference (FR) image quality assessment (IQA) is crucial in the evaluation of restored images by comparing them with pristine-quality reference...
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Perceptual Light Field Image Coding with CTU Level Bit Allocation
Light field imaging simultaneously records the position and direction information of light in scene, as one of the important techniques for digital...
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FF-PPQA: Face frontalization without glasses based on perceptual quality and pixel-level quality assessment
Face frontalization is the process of synthesizing realistic and identity-preserving frontal views from face images in different poses and is an...
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SenAttack: adversarial attack method based on perturbation sensitivity and perceptual color distance
Deep neural networks have effectively processed substantial quantities of image, text, and speech data. However, they are susceptible to adversarial...
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Design of a brief perceptual loss function with Hadamard codes
Perceptual loss functions are central to an ever-increasing number of tasks across computer vision. Their strength lies in their ability to translate...
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Auto-authentication watermarking scheme based on CNN and perceptual hash function in the wavelet domain
This paper presents a novel method for image watermarking authentication using Convolutional Neural Networks (CNN). The proposed method addresses the...
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Perceptual Image Hashing with Bidirectional Generative Adversarial Networks for Copy Detection
The traditional perceptual hashing algorithm is generally achieved by artificially extracting features from an image and quantizing them into a hash...