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Underwater image sharpening and color correction via dataset based on revised underwater image formation model
Underwater images bring about substantial information to many tasks regarding marine science or coastal engineering. Meanwhile, enhancement of...
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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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Computer Simulation of Image Formation by Diffraction Lens
AbstractWe offer computer technology for simulating the imaging process using diffraction optical harmonic lenses. The technology is built in a...
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Formation and Development of Image Analysis and Pattern Recognition in the USSR, the Republic of Belarus, and the Russian Federation
AbstractPreface to the Special Issue of the journal PRIA “Leading Scientific Schools in Image Analysis, Pattern Recognition, and Related Problems of...
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BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior
Light-sheet fluorescence microscopy (LSFM), a planar illumination technique that enables high-resolution imaging of samples, experiences “defocused”...
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Low complexity image coding technique for hyperspectral image sensors
Memory management and coding complexity are the major challenging issues of any hyperspectral image sensor. The hyperspectral image compression...
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Image region driven prior selection for image deblurring
Deblurring an image has been a long researched problem. This problem is very complex due to the lack of sufficient information about the blur...
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Descriptive Image Analysis
AbstractAn overview of the main methods, models, and results of Descriptive Image Analysis is given. Descriptive Image Analysis is a logically...
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DKH: a hybridized approach for image inpainting using Bayes probabilistic-based image fusion
Image inpainting is the process of removing the unwanted objects from the image or it refers to the restoration of the original image. Despite the...
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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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Image Restoration for Beautification
Image restoration refers to the recovery from a degraded image to achieve better visual aesthetics. With the advances in imaging and computing, image...
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A survey on the utilization of Superpixel image for clustering based image segmentation
Superpixel become increasingly popular in image segmentation field as it greatly helps image segmentation techniques to segment the region of...
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Deep Unpaired Blind Image Super-Resolution Using Self-supervised Learning and Exemplar Distillation
Existing deep blind image super-resolution (SR) methods usually depend on the paired training data, which is difficult to obtain in real...
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An image quality-aware approach with adaptive scattering coefficients for single image dehazing
Most conventional dehazing methods obtain quality results by solving atmospheric scattering model (ASM) using acquired variables (i.e., global...
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Effective polarization-based image dehazing through 3D convolution network
The presence of numerous microscopic particles within haze contributes to the scattering of atmospheric light, leading to a notable degradation in...
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High-Performance Digital Image Processing
AbstractThe work briefly describes the activities of the Moscow Scientific School of Digital Image Processing, formed on the basis of a team led by...
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Feature aggregation and modulation network for single image dehazing
Deep learning-based methods have recently achieved satisfying results in image dehazing. However, we observe that various researchers devote...
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Next-gen image enhancement: CapsNet-driven auto-encoder model in single image super resolution
Deep learning has made significant advancements in single image super-resolution (SISR). However, the majority of research now in existence...
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Exploring image data association: A hybrid mining approach
In this paper, a new approach for mining image association rules is presented, which involves the fine-tuned CNN model, as well as the proposed FIAR...
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Store Price Image Formation in the Consumer’s Mind: A Proposed Theoretical Model
Store price image is specified as a multidimensional construct, formed by a complex and dynamic process, based on customers’ beliefs and feelings and...