The color of the network machine can be more realistic than the analog camera. The brightness signal and the chrominance signal in the analog video signal occupy the same frequency band. When the video capture chip is used for comb filtering (bright color separation), it is difficult to separate the colors. The complete separation of intensity and brightness signals leads to the appearance of variegated spots and color penetration in the picture. Digital high-definition cameras do not have this trouble. The colors are more lifelike, more layered, and the picture saturation is better.
The image scanning mode adopted by the high-definition network machine is progressive scanning, and each frame of image is continuously scanned line by line by the electron beam. The scanning mode of traditional analog cameras uses interlaced scanning, and the line scanning frequency of interlaced scanning is half of that of progressive scanning. Due to its working principle, interlaced scanning has many shortcomings in applications, such as inter-line flicker, parallelism, or vertical edge jaggedness, and other undesirable effects, and cause the overall motion picture definition to decrease.
The vertical resolution of traditional analog color camera acquisition is 625 lines under PAL system, 575 lines after de-blanking, and the highest is about 540 lines, which is the current limit, while the minimum of digital high-definition cameras can reach more than 800 lines, and from the perspective of resolution , The highest resolution of traditional analog cameras can reach about D1 or 4CIF, which is approximately (400,000 pixels), while digital cameras do not have this limitation, and can reach mega-pixels or even tens of millions of pixels. The performance of clarity is totally different.
The original resolution of the traditional simulation camera is not high. In addition, it is affected by video damage such as repeated A/D conversion, electromagnetic transmission interference, interlacing, D1 image synthesis and deinterlacing, and it is already very blurry when it reaches the human eye. Therefore, whether it is D1 or 4CIF, etc., it is only a theoretical value. In practical applications, the clarity is not up to the theoretical value level. Digital cameras use digital signal transmission, which converts optical signals into digital signals, and then image compression and processing by DSP. Finally, the digital compressed video is output through the network. The digital camera is resistant to electromagnetic interference, progressive scanning, and image resolution. In terms of rate, they all have advantages that traditional analog cameras can’t match.
