As one of the main carriers of information transmission and storage, image data need to be compressed in some application scenarios. Traditional image compression methods, although reducing the size of image files to ...
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Artificial intelligence (AI) is a computer technology that has a human way of thinking and can imitate the human brain. The integration of AI into medical imaging has revolutionized diagnosis and treatment, providing ...
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Nowadays, the field of long-range thermal imageprocessing is increasingly popular. Although this technology has several advantages in terms of security and monitoring, there are not enough autonomous algorithms for p...
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In this paper, we present a novel transformer-based architecture for end-to-end image compression. Our architecture incorporates blocks that effectively capture local dependencies between tokens, eliminating the need ...
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The human skin is a remarkable structure, susceptible to numerous known and unknown diseases. Thus, diagnosing skin conditions is one of the most uncertain and complex areas in medical science, making clinical image a...
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This work is devoted to the development of a novel deep learning encoder-decoder algorithm for real-time noise and blur elimination in video frames, received from UAV. This work improves on existing algorithms by prov...
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ISBN:
(纸本)9798350372557
This work is devoted to the development of a novel deep learning encoder-decoder algorithm for real-time noise and blur elimination in video frames, received from UAV. This work improves on existing algorithms by providing a more flexible blind deblurring solution than existing kernel-based methods. The proposed method can be applied to both improve the drone operator's capabilities and to improve the performance of autonomous imageprocessing tasks, such as object identification and visual navigation systems. Different types of blur as well as possible types of noise are presented. A brief overview of existing methods is provided. The problem of frame alignment due to the object's movement and associated noise is considered. Existing deblurring and image restoration methods are reviewed, including state-of-the-art. Their limitations are highlighted. To solve the limitations a method based on a fully convolutional encoder-decoder network with residual connections is presented. Dataset generation and training procedures are discussed. The approach is then compared to existing state-of-the-art deep learning methods. The proposed method enables up to 9 times faster blind image restoration with comparable quality in comparison to existing state-of-the-art image restoration methods.
This article describes the creation and development of a Web Framework for the processing of images and Patterns based on the power of the HTML5 language and the object-oriented capabilities of the Javascript language...
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ISBN:
(纸本)9783031298592;9783031298608
This article describes the creation and development of a Web Framework for the processing of images and Patterns based on the power of the HTML5 language and the object-oriented capabilities of the Javascript language, as well as the importance of its functionality on any operating system, thereby improving and simplifying its use. The object-oriented implementation will make it easier to access image variables and characteristics (width, height, color depth and bitmap), the calculation algorithms and matrix processing have been modified to perform convolution and color discretization processes, as well as the use of Gaussian filters and the Sobel, Cannis, Roberts Operator. Leaving the data ready to search for patterns and generate color histograms. As a result, a clear, compact implementation was obtained. to be able to derive and run on any browser that supports HTML5 technology and, more importantly, on any operating system. We provide greater flexibility and portability than other CGI frameworks based on C++ and Python.
Maintaining road infrastructure is essential to effective transportation systems and public safety. This research provides a new method for pothole depth estimation and automatic road crack detection using computer vi...
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Polycystic Ovary Syndrome (PCOS) is a common hormonal disorder among women of reproductive age and it can lead to infertility, metabolic disorders and other health problems. Ultrasound is an important tool for the dia...
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Machine vision technology has shown great potential for development and application in the coal heat utilization and coal chemical production process It is important to carry out image analysis-based stability adaptat...
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