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Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation
Unsupervised monocular depth learning generally relies on the photometric relation among temporally adjacent images. Most of previous works use both...
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PU-SSIM: A Perceptual Constraint for Point Cloud Up-Sampling
Point cloud data acquired through scanning typically exhibits sparse, non-uniform distribution, and a certain level of noise. Therefore, it is...
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F2DLNet: A Face Forgery Detection and Localization Network Based on SSIM Error Maps
Aiming to counteract the negligence of structural distortion of face swapped videos in the existing face forgery methods, a novel face forgery...
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PSNR vs SSIM: imperceptibility quality assessment for image steganography
Peak signal to noise ratio (PSNR) and structural index similarity (SSIM) are two measuring tools that are widely used in image quality assessment....
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Deep Autoencoders for Anomaly Detection in Textured Images Using CW-SSIM
Detecting anomalous regions in images is a frequently encountered problem in industrial monitoring. A relevant example is the analysis of tissues and...
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SSIM-based adaptation for DASH with SVC in mobile networks
Dynamic Adaptive Streaming over HTTP (DASH) depends on adjustment of the quality of a video stream to the available network conditions. In order to...
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Classification of the Chest X-ray Images of COVID-19 Patients Through the Mean Structural Similarity Index
The chest X-ray (CXR) images of healthy patients and patients with COVID-19 are clustered into distinct classes using the mean structural similarity...
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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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The improved deep plug-and-play super-resolution with residual-in-residual dense block for arbitrary blur kernels
Single-image super-resolution (SISR) reconstruction has highly academic and practical values. The deep plug-and-play super-resolution (DPSR)...
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Improved image dehazing model with color correction transform-based dark channel prior
The precise identification and positioning of objects require the restoration of hazy images. This paper proposes the implementation of Color...
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Segmentation of brain MRI using moth-flame optimization with modified cross entropy based fitness function
The work presents a newly designed penalty function to be added with an existing Cross Entropy based fitness function [
3 ] for optimal selection of...
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Enhanced pyramidal residual networks for single image super-resolution
Several super-resolution (SR) techniques are introduced in the literature, including traditional and machine learning-based algorithms. Especially,...
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Optimization of microscopy image compression using convolutional neural networks and removal of artifacts by deep generative adversarial networks
Nowadays, microscopy images are significant in medical research and clinical studies. However, storage and transmission of data such as microscopy...
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Efficient single image-based dehazing technique using convolutional neural networks
This research proposes a learning-based efficient single-image dehazing method. Dehazing, discriminator, and fine-tuning networks build the...
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An Efficient Filtering Technique for Detecting Vehicle Traffic in Real-Time Videos
Filtering strategies are frequently used in instantaneous video processes, particularly for applications such as identifying items for traffic...
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TCGFusion: a network for PET-MRI fusion based on GAN and transformer
Modern clinical diagnosis relies heavily on medical imaging. Unimodal images contain limited information, whereas image fusion techniques can combine...
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Highly efficient encoder-decoder network based on multi-scale edge enhancement and dilated convolution for LDCT image denoising
Aiming at the problems of edge loss due to down-sampling-up-sampling operations of encoder decoder networks and the difficulty of extracting global...
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Human-oriented video retargeting via object detection and patch decision
In this study, we suggest a novel video retargeting approach by considering the essential factors of a video: main object and movement thereof. Such...
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PCA-based hierarchical clustering approach for motion vector estimation in H.265/HEVC video error concealment
Video error concealment (EC) is a challenging issue, and one of the key challenges is accurately modeling motion vectors (MVs) in corrupted frames....
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Enhancement of Brain Magnetic Resonance Images Using Cascade of Notch Filter and Linear Transformation Methods
AbstractIn this work, we have proposed a cascade of notch filters with linear transformation (LT) methods to enhance MRI brain images. The proposed...
