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A lightweight robust image hash based on random tensors and angle features for IoT devices
Image hashing can be extensively used in image forensics, and the lightweight image hash suitable for IoT smart devices plays an important role of...
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PSC diffusion: patch-based simplified conditional diffusion model for low-light image enhancement
Low-light image enhancement is pivotal for augmenting the utility and recognition of visuals captured under inadequate lighting conditions. Previous...
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Rt-swinir: an improved digital wallchart image super-resolution with attention-based learned text loss
In recent years, image super-resolution (SR) has made remarkable progress in areas such as natural images or text images. However, in the field of...
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OASIS: Only Adversarial Supervision for Semantic Image Synthesis
Despite their recent successes, generative adversarial networks (GANs) for semantic image synthesis still suffer from poor image quality when trained...
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A Deep Learning Framework for Infrared and Visible Image Fusion Without Strict Registration
In recent years, although significant progress has been made in infrared and visible image fusion, existing methods typically assume that the source...
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Improving ESRGAN with an additional image quality loss
ESRGAN is a generative adversarial network that produces visually pleasing super-resolution (SR) images with high perceptual quality from...
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GAN-Based Image Compression with Improved RDO Process
GAN-based image compression schemes have shown remarkable progress lately due to their high perceptual quality at low bit rates. However, there are... -
No-Reference Image Quality Assessment Based on Machine Learning and Outlier Entropy Samples
AbstractA growing research is focusing on approaches for assessing image quality as a result of advancements in digital imaging. Thus, there is an...
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Optimized pixel level image fusion for lung cancer detection over MRI and pet image
Lung cancer is an abnormal development of cells that are uncontrollably proliferating. When using a system for medical diagnostics, the precise...
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Perceptual Quality Assessment of Omnidirectional Audio-Visual Signals
Omnidirectional videos (ODVs) play an increasingly important role in the application fields of medical, education, advertising, tourism, etc.... -
Strengthening wavelet based image steganography using Rubik’s cube segmentation and secret image scrambling
Image steganography is an extremely rich and significant exploration region that gives productive answers to some genuine and modern issues. This...
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A residual multi-scale feature extraction network with hybrid loss for low-dose computed tomography image denoising
In order to suppress noise and artifacts in low-dose computed tomography (LDCT), various deep learning techniques, especially encoder-decoder...
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StylePart: image-based shape part manipulation
Direct part-level manipulation of man-made shapes in an image is desired given its simplicity. However, it is not intuitive given the existing...
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Rethinking cross-domain semantic relation for few-shot image generation
Training well-performing Generative Adversarial Networks (GANs) with limited data has always been challenging. Existing methods either require...
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FDPPGAN: remote sensing image fusion based on deep perceptual patchGAN
Remote sensing satellites can simultaneously capture high spatial resolution panchromatic (PAN) images and low spatial resolution multispectral (MS)...
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AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing
Image hazing poses a significant challenge in various computer vision applications, degrading the visual quality and reducing the perceptual clarity...
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Qianzhan Technology’s 5F Perceptual Learning Research Takes VR Wearable Devices as an Example
The purpose of this study is to try to use the timeline of the development of VR wearable device products, distinguish the representative characters... -
A survey on facial image deblurring
When a facial image is blurred, it significantly affects high-level vision tasks such as face recognition. The purpose of facial image deblurring is...
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Perceptual Analysis of Computer Graphics Characters in Digital Entertainment
This chapter presents a discussion regarding the area of perceptual analysis in Computer Graphics (CG) characters. This discussion is focused on... -
Blindly Evaluate the Quality of Underwater Images via Multi-perceptual Properties
The quality of underwater images can vary greatly due to the complexity of the underwater environment as well as the limitations of imaging devices....