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Quadratically Transformed Luminance Chrominance Spaces
Several color spaces defined in the literature are obtained from the RGB space through non-linear transforms, potentially limiting their...
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Modular Degradation Simulation and Restoration for Under-Display Camera
Under-display camera (UDC) provides an elegant solution for full-screen smartphones. However, UDC captured images suffer from severe degradation...
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Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
The role of mobile cameras increased dramatically over the past few years, leading to more and more research in automatic image quality enhancement...
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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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Image tampering detection based on a statistical model
This paper presents a novel method for image manipulation iden- tification of natural images in JPEG format. The image forgery detection technique is...
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Novel quality-efficient universal demosaicing for arbitrary color filter array images
To save cost, nowadays most digital cameras equip with a single sensor covered with a specific color filter array (CFA) and each pixel in the...
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Source Camera Attribution from Videos
Photo-response non-uniformity (PRNU) is an intrinsic characteristic of a digital imaging sensor, which manifests as a unique and permanent pattern...
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A Study of Improved Methods on Image Inpainting
Inpainting is the ancient art technique of modifying the image when it can’t be detected. This current study discusses the various approaches in...
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MACFNet: multi-attention complementary fusion network for image denoising
Recent years, thanks to the prosperous development of deep convolutional neural network, image denoising task has achieved unprecedented...
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Color Image Processing
Color images contain more information than black-and-white images (Koschan and Abidi 2008). Color images are gradually becoming the object of image...
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The Inter-Relationship Between Photographic Aesthetics and Technical Quality
Quality assessment has become increasingly important, finding applications in image and video acquisition, synthesis, search, and more. Image quality...
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Information theoretic steganalysis of processed image LSB steganography
The preprocessing of a digital image affects the statistical properties of image pixels and steganographic security. Modification of digital media is...
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Image Formation
Before we can intelligently analyze and manipulate images, we need to establish a vocabulary for describing the geometry of a scene. We also need to...
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Image reconstruction for color contact image sensor (CIS)
The color contact image sensor is often used to capture the surface of some materials for the defect detection in industry. However, the special...
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FCNet: a deep neural network based on multi-channel feature cascading for image denoising
A lot of current work based on convolutional neural networks (CNNs) has fetched good visual results on AWGN (additive white Gaussian noise) removal....
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Effects of Image Compression on Image Age Approximation
In-field sensor defects are at the core of temporal image forensics, as a temporal order among pieces of evidence can be established by knowing their...
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Video splicing detection and localization based on multi-level deep feature fusion and reinforcement learning
Splicing forgery refers to copying some regions of a video or an image to another video/image. Although image splicing detection has been studied for...
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DCCA and DMCCA framework for multimodal biometric system
Deep networks have been successfully applied to unsupervised feature learning for single modalities such as Text, Image, or Audio. Here, we present...
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Fake region identification in an image using deep learning segmentation model
A forged image is a major source of counterfeit news and is mostly used in a spiteful manner such as exciting targeted mob, identity theft, defaming...
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End-to-end learning for joint depth and image reconstruction from diffracted rotation
Monocular depth estimation is an open challenge due to the ill-posed nature of the problem at hand. Deep learning techniques proved capable of...
