JACIII Vol.23 No.2 pp. 328-333
doi: 10.20965/jaciii.2019.p0328


Sharpening Method for Dynamic Images of Remote Network Video

Lingya He

School of Computer and Information Science, Hunan Institute of Technology
No.18 Henghua Road, Zhuhui District, Hengyang, Hunan 421001, China

March 28, 2018
January 24, 2019
March 20, 2019
remote network video dynamic images, sharpening, method and research
Sharpening Method for Dynamic Images of Remote Network Video

The method proposed in this paper has lowest energy consumption

Sharpening for dynamic images of remote network video is helpful to improve the dynamic images quality of remote network video and facilitate the subsequent use. Currently, most of remote network video dynamic images are completed based on the DSP chip, the cost of processing is high. In this paper, we propose a method to sharpen remote network video dynamic images based on the physical model. Firstly, image enhancement is carried out. Then, the dark channel priority method and the transmittance estimation method are analyzed to complete the sharpening. Experiments show that the proposed method can effectively improve the efficiency of image sharpening, and the sharpness of image is high and the practicability is strong.

Cite this article as:
Lingya He, “Sharpening Method for Dynamic Images of Remote Network Video,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.2, pp. 328-333, 2019.
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