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- W4387489980 abstract "The image processing technology is widely used in digital signal processing, biomedical engineering, and industrial automation control. In image processing, image enhancement and restoration techniques are used in many imaging applications, such as astrophotography, medical imaging camera, film production, and infrared imaging. At the same time, image enhancement and restoration technology based on both deep learning and neural network is a major research hotspot in the area of image processing. This paper reviews the related research of image enhancement and restoration technology. In terms of image enhancement, the working principle of its technology based on spatial domain and frequency domain and contrast enhancement technology, including color image contrast enhancement, are introduced. In image restoration, median filtering technology and the Lucy-Richardson (LR) algorithm are introduced, including the adaptive median filtering algorithm and the improved LR algorithm based on the Gaussian low-pass filter. Finally, the merits and demerits of these technologies are discussed, and the development prospect of image enhancement and restoration technology has prospected." @default.
- W4387489980 created "2023-10-11" @default.
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- W4387489980 date "2023-10-10" @default.
- W4387489980 modified "2023-10-16" @default.
- W4387489980 title "Digital signal processing techniques for image enhancement and restoration" @default.
- W4387489980 doi "https://doi.org/10.1117/12.3005862" @default.
- W4387489980 hasPublicationYear "2023" @default.
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