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Real-Time Underwater Image Enhancement Using Adaptive Full-Scale Retinex
Current Retinex-based image enhancement methods with fixed scale filters cannot adapt to situations involving various depths of field and...
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Underwater image enhancement via color conversion and white balance-based fusion
The task of enhancing underwater images presents a significant challenge due to the refraction and absorption of light in water, resulting in images...
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Research on cuttings image segmentation method based on improved MultiRes-Unet++  with attention mechanism
Cuttings logging is an important technology in petroleum exploration and production. It can be used to identify rock types, oil and gas properties,...
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Image Recognition with Deep Neural Networks
Image recognition is about finding automatic methods to identify objects and their arrangement in an image or photo. This includes classifying the...
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Cryptanalysis and security evaluation of optimized algorithms for image encryption in deep optimal network
Due to the enhancement of multimedia technology, numerous electronic devices are utilized and the most significant is cryptography which is...
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Mathematical analysis behind occlusion handling in image with deep learning
In the event that an object tracking is obscured (occluded) by another object, occlusion has taken place. It is a tedious task for handling occlusion...
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Adaptive underwater image enhancement based on color compensation and fusion
Underwater images typically suffer from color deviation, low contrast and poor visibility. To deal with these problems, we propose an adaptive...
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Morphological active contour based SVM model for lung cancer image segmentation
Lung cancer is currently the leading cause of cancer-related death. To lower the mortality from lung cancer, early detection is crucial. A precise...
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Robust Unpaired Image Dehazing via Density and Depth Decomposition
To overcome the overfitting issue of dehazing models trained on synthetic hazy-clean image pairs, recent methods attempt to boost the generalization...
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Marksmanship evaluation using image processing techniques
Performance in marksmanship necessitates precision and undivided concentration. It entails firing bullets at targets using a firearm. According to...
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CBIR-ACHS: compressed domain content-based image retrieval through auto-correloblock in HEVC standard
Because the complete decompression of images encoded through the HEVC standard is time-consuming, image retrieval encoded through the HEVC standard...
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Changeable essential threshold secret image sharing scheme with verifiability using bloom filter
In threshold secret image sharing schemes (k, n), the secret image S is distributed among n shareholders. To recover the secret image, at least k...
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A lightweight CNN based information fusion for image denoising
Deep convolutional neural networks (CNNs) with strong learning abilities have obtained good results for image denoising. However, the CNNs for image...
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Fuzzy c-means based medical image retrieval for identifying most clinically relevant images
Rapid growth of multimedia, storage systems and digital computers has resulted in repositories of multimedia content and large image in recent years....
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Underwater image enhancement based on adaptive color correction and multi-scale fusion
In actual captured underwater images, serious color distortion, detail loss and limited visibility are common issues due to the combined influence of...
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Enhancing image steganalysis via integrated reinforcement learning and dilated convolution techniques
In the wake of unparalleled expansion in digital communication platforms, the imperative to bolster security and privacy measures has escalated....
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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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Medical image segmentation using automated rough density approach
Delineation of Gallbladder (GB) and identification of gallstones from Computed Tomography (CT) and Ultrasonography (USG) images is an essential step...
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Radiometric model for plenoptic image formation
This paper presents a general plenoptic image formation model based on light ray radiometry. Most existing plenoptic image formation models focus on...
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A hybrid SWT-SVD based multiresolution features for robust image copy-move forgery detection
The copy-move forgery technique is the most commonly exercised among different image tampering techniques. In this approach, some part of an image is...
