Technologies 3DNR, HSBLC, D-WDR in cameras KAMERON.
3DNR, HSBLC, D-WDR technologies in KAMERON cameras
3DNR (3D Noise Reduction) technology is a method for suppressing image noise that occurs in low light conditions.
In video transmission systems, which also include video surveillance systems, special attention is paid to noise filtering algorithms. Noise suppression is crucial for the overall functioning of the system, since the presence of noise in the video signal not only degrades image quality, but also affects subsequent signal processing. Noise is especially harmful to digital video, which is subject to compression and subsequent decompression.
Currently, noise reduction methods can be divided into two types: two-dimensional 2DNR (which in turn is divided into spatial and temporal) and three-dimensional 3DNR noise reduction.
A spatial noise reduction filter analyzes an image only in the spatial domain, ignoring information in the temporal direction. Temporal noise reduction filters analyze pixels only in the temporal direction. Temporal noise reduction can use adaptive or compensatory methods. The adaptive method analyzes pixels that are in the same position in different frames. The compensatory method is based on the analysis of the motion trajectory, relying on actual data obtained from the results of motion estimation. But the 2DNR method has a drawback — when processing the signal, image details become blurry. The 3DNR noise reduction filter combines the advantages of temporal filters with spatial filters, but is devoid of their inherent drawbacks.
3DNR noise reduction uses a method for reducing the additive influence of Gaussian noise by analyzing multiple consecutive video frames using temporal filtering. The method determines the degree of difference between the pixels in the current frame and the pixels in the previous frame. It also determines the motion vector that is indicative of the pixel movement in the current frame and the similar movement of the compensated pixel in the filtered frame. The method then estimates the distortion affecting the pixel in the current frame. As a result, the filter calculates the result based on the average “weight” of the pixels in the current frame, taking into account the pixels of the second frame, taking into account the results of motion detection and estimation, motion compensation, and noise estimation.
This method can produce a high-quality video signal image under adverse lighting conditions.
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HSBLC technology (Highlight Suppression BLC) is a technology for additional suppression of bright light sources when backlight compensation is enabled. A camera using this technology can be aimed directly at a bright light source (for example, car headlights at night), and this will mask the bright light, which will allow you to get a higher-quality image of the rest of the frame.
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D-WDR (Digital Wide Dynamic Range) technology (extended dynamic range with digital signal processing) allows you to get a high-quality image of both bright and dark areas of the frame. The fact is that the number of gradations of gray (halftones) that a video camera can transmit is only part of the full spectrum from pure white to pure black. And if the frame simultaneously contains both bright and dark areas (for example, a bright sky on a sunny day and an object in the shade), the video camera is forced to calculate the exposure, trying to cover the maximum gradations of brightness. As a result, bright objects appear darker (closer to gray) and dark objects appear lighter (also closer to gray). Thus, image contrast is lost. Dynamic range expansion technology allows you to transmit all gradations of gray in all areas of the frame with maximum accuracy, preserving contrast, but at the same time there is a loss of detail. But to preserve detail (clarity), digital processing is used, which together constitutes the Digital Wide Dynamic Range technology.
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