The development of biomedical image technology has brought significant advancements to healthcare and frontier research. Over the past 20 years, BioCAS has witnessed and documented comprehensive achievements in biomed...
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ISBN:
(数字)9798350354959
ISBN:
(纸本)9798350354966
The development of biomedical image technology has brought significant advancements to healthcare and frontier research. Over the past 20 years, BioCAS has witnessed and documented comprehensive achievements in biomedical image sensor design and processingalgorithms. This paper provides a systematic review of the work related to biomedical image acquisition and processing technology in BioCAS and offers a perspective on future developments in this field.
Despite the success of Multi-Agent Reinforcement Learning (MARL) algorithms in cooperative tasks, previous works, unfortunately, face challenges in heterogeneous scenarios since they simply disable parameter sharing f...
Due to the complex and harsh oilfield production environment, oilfield enterprises need a set of digital intelligent monitoring system to realize the real-time monitoring and control of oilfield water injection. This ...
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In computer vision and imageprocessing the surveillance of Video, Virtual reality, robotic perception, and image compression are just a few of the uses for image segmentation. There are a plethora of segmentation alg...
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The dark areas in SAR images are primarily low backscatter regions dominated by noise signals, characterized by significant texture, low echo energy, and large phase interference errors in the echo signals. Accurately...
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Interrupted-sampling repeater jamming (ISRJ) creates a cluster of false targets at the radar receiver, significantly degrading the radar's target detection performance. We investigate a method for suppressing ISRJ...
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Since the invention of computers, imageprocessing methods have been utilized in a variety of applications, where their significance has grown. An important topic and the main emphasis of imageprocessing methods are ...
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Aiming at the problem that the current image edge detection algorithm is not accurate enough to capture the edge contour, an image edge detection algorithm based on Wolf king algorithm was proposed. Firstly, local pri...
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In communication technologies, it can be solved in systems that are extremely simple, detailed, among the tools for use in the electronic environment, internet-connected, development and integrated systems. With the r...
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With the increasing development of digital image communication technology, the requirements for image quality, such as texture details, color levels, and dynamic range, are gradually increasing. This presents unpreced...
With the increasing development of digital image communication technology, the requirements for image quality, such as texture details, color levels, and dynamic range, are gradually increasing. This presents unprecedented challenges to the tradeoff between the reliability and effectiveness of image compression technology. Static image compression standards are an integration of phased research achievements in image compression algorithms and provide guidance for the study of image compression. Firstly, static image compression algorithms are introduced in three types: discrete cosine transform (DCT) coding-based methods, prediction coding-based methods, and discrete wavelet transform (DWT) coding-based methods, based on the existing literatures and the latest achievements. The basic idea is elaborated for each typical algorithm. Secondly, the advantages and disadvantages of these algorithms are analyzed, compared, and summarized. Thirdly, research on static image compression in the past three years is detailed and analyzed, which is divided into three technical fields: image steganography, high fidelity imageprocessing, and optimization of imageprocessing performance. Finally, the challenges in each field are proposed as well. Some potential future research work is advised.
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