Abstract: Digital image processing (DIP) is the ability to manipulate digital photographs via algorithms for pattern detection, segmentation, enhancement, and noise reduction. In addition, the ...
Abstract: Conventional computer vision pipelines typically treat low-level enhancement and high-level semantic tasks as isolated processes, focusing on optimizing enhancement for perceptual quality ...
Abstract: With the rapid development of information technology and digital technology, the generation of massive image data has put forward higher requirements for image processing technology. Image ...
Abstract: Image smoothening is a highly utilized operation in digital image processing focused on reducing the impact of noise. In field programmable gate arrays (FPGA) based implementation, the ...
Curve: Clip-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing
Abstract: Low-Light Image Enhancement (LLIE) is crucial for improving both human perception and computer vision tasks. This paper addresses two challenges in zero-reference LLIE: obtaining ...
Abstract: Image processing algorithms continue to demand higher performance from computers. However, computer performance is not improving at the same rate as before. In response to the current ...
In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...
Abstract: Computer vision techniques offer novel avenues for autonomous control of dexterous hand grasp patterns. However, existing methods primarily rely on single-modal visual information for ...
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