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Iris segmentation for non-ideal Iris biometric systems
At present, iris recognition systems are highly demanded for covert applications such as monitoring terrorist activities at public places,...
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Adaptive Mask-Based Pyramid Network for Realistic Bokeh Rendering
Bokeh effect highlights an object (or any part of the image) while blurring the rest of the image, and creates a visually pleasant artistic effect....
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DDFN: a depth-differential fusion network for multi-focus image
Dueto the limitations of digital image capturing equipment, it is usually difficult for the photographer to obtain a complete and clear image of a...
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Blur Detection via Phase Spectrum
The effectiveness of blur features is very important in blur detection from a single image and the most existing blur features are sensitive to the...
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Multi-focus Image Fusion Methods: A Review
Because of the limitations of cameras optical lenses, which have finite Depth-of-Field (DOF), acquiring images that are completely in focus is a...
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Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition
Masked autoencoder (MAE) has attracted unprecedented attention and achieves remarkable performance in many vision tasks. It reconstructs random...
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Mish-DCTGAN based combined image super-resolution and deblurring approach for blurry license plates
Nowadays, there is a growing desire for high definition images with fine textures, yet images taken in natural settings frequently suffer from...
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The Application of Virtual Reality Technology in Ophthalmology
Virtual reality (VR) is changing the way we perceive and interact with various digital information, so that many scenes can place users in an ideal...
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Benchmarking of Blind Video Deblurring Methods on Long Exposure and Resource Poor Settings
This paper presents a benchmark evaluation of blind video deblurring methods in specific challenging settings. The employed videos are affected by...
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Introduction
Computer vision is the extraction of information from images. It is used in robotics, pattern recognition, AI, image processing, and photogrammetry....
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A real noise resistance for anti-tampering quick response code
Traceability via quick response (QR) codes is regarded as a clever way to learn specifics about a product’s history, from its creation to its transit...
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MWformer: a novel low computational cost image restoration algorithm
The development of the Internet of Things has led to a surge in edge devices. The image detection algorithm, one of the commonly used algorithms in...
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An experimental study of relative total variation and probabilistic collaborative representation for iris recognition
Iris images collected under different conditions often suffer from specular reflections, cast shadows, motion blur, defocus blur, occlusion caused by...
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Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions
When designing a semantic segmentation model for a real-world application, such as autonomous driving, it is crucial to understand the robustness of...
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MA-MFIF: When misaligned multi-focus Image fusion meets deep homography estimation
Multi-focus image fusion is a technique that combines multiple out-of-focus images to enhance the overall image quality. It has gained significant...
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Elastic 3D–2D Image Registration
We propose a method to nonrigidly align a three-dimensional (3D) volumetric image with a two-dimensional (2D) planar image representing a projection...
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Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
Numerous learning-based approaches to single image deblurring for camera and object motion blurs have recently been proposed. To generalize such...
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A multi-focus image fusion method based on attention mechanism and supervised learning
Multi-focus image fusion is always a difficult problem in digital image processing. To achieve efficient integration, we propose a new end-to-end...
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Nonblind Image Deconvolution via Leveraging Model Uncertainty in An Untrained Deep Neural Network
Nonblind image deconvolution (NID) is about restoring the latent image with sharp details from a noisy blurred one using a known blur kernel. This...
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Deep learning based-approach for quick response code verification
Quick response (QR) code-based traceability is considered as a smart solution to know details about the origin of products, from production to...
