How to reduce the loss of image quality in multiple images in security surveillance?

There are many technical factors that affect the quality of surveillance images. This article mainly analyzes and studies it from the perspective of map detection applications.

1. Quality standards vary: Due to the unbalanced economic development, the performance and technical standards of the video surveillance systems installed by various units and departments are not uniform, and the relevant national regulations are not very sound, resulting in the application of video surveillance by the above units and departments. There is also a large quality difference in the system.

2. The use of video is not the same: The needs of the surveillance video and the purpose of use are inconsistent between the construction unit and the competent person, resulting in a different picture quality due to the different emphasis. Therefore, a series of problems arise when using surveillance video images as evidence or clues.

3, video image compression / transmission / storage / decompression of different quality: Although the current monitoring technology and the corresponding equipment has been widely used in China, but due to the various manufacturers in order to compress storage space and reduce costs and continuously increase the compression ratio . After the video image signal simulated by the video surveillance equipment is input to several links that have been compressed, transmitted, stored, and then decompressed after being converted into a digital signal, the image quality has been affected more or less, the image clarity, gray scale, Color reproduction, real-time performance will be attenuated to varying degrees.

4. Video capture is affected by the external environment and the internal noise of the device: There are many factors that affect the clarity of the image. For example, if the outdoor illumination is not uniform enough, the video image will be too grayscale; the image obtained by the CCD (camera) passes through the A/D. Digital-to-analog conversion. This function is implemented in the image system by a digital acquisition card.) Conversion and line transmission can generate noise pollution. Therefore, the image quality is inevitably reduced. The lighter ones show that the images are not clean and it is difficult to see the details; the heavier ones show that the images are not clear, and even the outline cannot be seen.

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