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Unsupervised image-to-image translation with multiscale attention generative adversarial network
Unsupervised image-to-image translation refers to translating images from the source domain to the target domain, assuring that the translated images...
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Grey-adversary perceptual network for anomaly detection
The task of anomaly detection in surveillance videos is challenging due to the sparsity and diversity. In order to perceive more discriminative...
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Unsupervised single-shot depth estimation using perceptual reconstruction
Real-time estimation of actual object depth is an essential module for various autonomous system tasks such as 3D reconstruction, scene understanding...
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Sensory Technolinguistics: On Mechanisms of Transmitting Multimodal Messages in Perceptual-Cognitive Interfaces
AbstractAn approach to implementing perceptual-cognitive interfaces (PCIs) is presented in the context of the synchronous transmission of speech...
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Research on chaos of product color image system driven by brand image
Chaos means innovation in the field of design. Meanwhile, the product image system is not only a quantified ‘formula’ between product and...
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InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation
The unsupervised image-to-image translation aims to learn a map** that translates images from one domain to the target domain. Current...
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Neural style transfer for image steganography and destylization with supervised image to image translation
Today, a lot of information is being shared electronically in a way or another. Despite the advancements in technology used for data transfer, the...
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Joint frame-level and CTU-level rate control based on constant perceptual quality
For a given network bandwidth, optimizing the rate control to achieve the best compression performance is essential in video communication and...
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Detail-aware image denoising via structure preserved network and residual diffusion model
The rapid development of deep learning has led to significant strides in image denoising research and has achieved advanced denoising performance in...
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Texture-guided CNN for image denoising
Convolutional neural networks (CNNs) can effectively extract structural information in image denoising. However, they tend to ignore texture...
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Perceptual hashing scheme using KAZE feature descriptors for combinatorial manipulations
Perceptual image hashing methods utilize the visual phenomenon of the images and produce a fixed-length hash function and this hash value can be...
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Multi-layer noise resha** and perceptual optimization for effective adversarial attack of images
Adversarial attack aims to fail the deep neural network by adding a small amount of perturbation to the input image, in which the attack success rate...
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Boundary equilibrium SR: effective loss functions for single image super-resolution
Recently, single image super-resolution (SISR) has made great progress due to the rapid development of deep convolutional neural networks (CNN), and...
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Dynamic convolution-based image dehazing network
Convolutional neural networks use a convolutional kernel with static weights for processing non-uniform haze or dense fog, which may lead to...
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Using Perceptual Hashing for Targeted Content Scanning
The Internet is increasingly used to disseminate unethical and illegal content. A grave concern is child sexual abuse material that is often...
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Controllable fundus image generation based on conditional generative adversarial networks with mask guidance
Fundus image generation can serve training data diversity as well as clinical and medical education. To solve the problem of the controllability and...
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Dual-task complementary networks for single-image deraining
Single-image rain removal is an extremely challenging task as it requires not only removing rain streaks with complex shapes, scales, and opacities...
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Blind Perceptual Quality Assessment for Single Image Motion Deblurring
Single image deblurring is a typical ill-posed problem. Although a lot of effective algorithms have been proposed, there is a lack of blind...
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Semi-fragile watermarking scheme based on perceptual hash function (PHF) for image tampering detection
The increasing performances of personal computers, as well as software of image processing, enable the easy manipulation of digital media content....
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Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach
The automatic and precise perceptual parsing of Chinese landscape paintings (CLP) significantly aids in the digitization and recreation of artworks....
