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An image quality assessment method based on edge extraction and singular value for blurriness
The automatic assessment of perceived image quality is crucial in the field of image processing. To achieve this idea, we propose an image quality...
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Single image defocus map estimation through patch blurriness classification and its applications
Depth information is useful in many image processing applications. However, since taking a picture is a process of projection of a 3D scene onto a 2D...
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No-reference image blurriness assessment using divisive normalization
During image processing, it is observed that the input images got distorted for various reasons. The distortion of images lowers the quality of the...
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Improving the Accuracy in Copy-Move Image Detection: A Model of Sharpness and Blurriness
The paper suggests a model based on the sharpness and blurriness to confirm the exact tampered areas from the suspicious ones which are detected from...
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A simple spatial domain method for quality evaluation of blurred images
In this paper, a simple yet highly accurate algorithm for No-Reference quality estimation of blurred images is proposed. The proposed work is...
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DFT-based no-reference quality assessment of blurred images
In this paper, blind image quality assessment (IQA) of Gaussian blurred images based on Discrete Fourier Transform (DFT) is proposed. The proposed...
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Assessing the Quality of Acquired Images to Improve Ear Recognition for Children
The use of biometrics to secure the identity of children is a continuous research worldwide. In the recent past, it has been realized that one of the...
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SSHRF-GAN: Spatial-Spectral Joint High Receptive Field GAN for Old Photo Restoration
Old photo restoration is a challenging problem since it suffers from mixed degradation like noise, blurriness, scratch, dots, or color fading during...
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Unsupervised Deep-Learning Approach for Underwater Image Enhancement
Underwater images often contain color casting and blurriness which reduce the quality. State-of-the-art shows different deep-learning models to...
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Classification of aesthetic natural scene images using statistical and semantic features
Aesthetic image analysis is essential for improving the performance of multimedia image retrieval systems, especially from a repository of social...
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Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction
Accurate traffic sign data recognition is crucial for enhancing safety in autonomous driving system. However, recognizing traffic signs from natural...
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SMC-SRGAN-Lightning super-resolution algorithm based on optical micro-scanning thermal microscope image
Due to the low spatial resolution of the existing optical micro-scanning thermal microscope imaging system, the acquired micro-scanning infrared...
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Uncertainty Based Border-Aware Segmentation Network for Deep Caries
Deep caries is a progressive and destructive disease affecting the hard surface of teeth. If left untreated, it can lead to serious health risks such...
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Development of a VR Simulator for the Elder's Impaired Visual Function and the Investigation of the VR Objects Recognition with Visual Function Impairment
Currently, we are develo** a VR exposure system for improving post-fall syndrome for elderly fallers. However, it is difficult to recognize for...
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Old scratched photos restoration with enhancement and colorization
Although the current deep learning-based old photos restoration work can repair scratches and structural defects, the results often have the problems...
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An adaptive color correction method for underwater single image haze removal
The issue of underwater image haze removal is investigated in this paper. The exponential attenuation phenomenon in the underwater light propagation...
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Image Quality Assessment Metric Fusing Traditional and Dempster-Shafer Theory
Image analysis is being applied in many applications including industrial automation with the Industrial Internet of Things and machine vision. The...
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STARNet: spatio-temporal aware recurrent network for efficient video object detection on embedded devices
The challenge of converting various object detection methods from image to video remains unsolved. When applied to video, image methods frequently...
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Gaze-contingent adaptation of VR stereo parameters for cybersickness prevention
Extended exposure to virtual reality displays has been linked to the emergence of cybersickness, characterized by symptoms such as nausea, dizziness,...
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RAUNE-Net: A Residual and Attention-Driven Underwater Image Enhancement Method
Underwater image enhancement (UIE) poses challenges due to distinctive properties of the underwater environment, including low contrast, high...