How to Achieve High-Quality Videos with Low Bandwidth
Megapixel surveillance cameras provide their users with more detailed images; however, these capabilities can affect the cost of the entire video surveillance project.
The amount of data that is transported and stored, in this case, increases significantly. Bandwidth requirements and increased capacity required significantly increase the total cost of an IP video surveillance system. The best way to reduce these costs is on the surveillance camera itself, and this can be achieved by reducing the bit rate.
The bit rate can be reduced, in particular, due to noise reduction. Noise is quite a damaging factor that leads to clogging of the encoding process. It leads directly to an increase in the bit rate.
Optimize bitrate to reduce streaming
Classic noise reduction systems are of two types. Spatial noise reduction techniques are applied within the frame to help reduce noise, while temporal noise reduction averages the pixels over multiple frames. These are very effective techniques for still images, but they can cause problems when there is movement. In the event that a temporary noise reduction is applied to a moving image, a ghost image may appear.
By combining spatial and temporal noise reduction with the ability to dynamically adjust them based on lighting levels and the detection of moving objects, we obtain images with low noise, maximum detail and low bit rate. The bit rate can be optimized by adjusting the amount of noise reduction based on the analysis of important moving objects in the surveillance camera’s field of view. When there is no movement, the bit rate is kept to a minimum. If an important object is detected, the bit rate increases, allowing you to capture as much detail as possible. The result is that the bandwidth requirements of the network remain low until something important happens in the frame.
Other ways to reduce the bit rate
For some megapixel surveillance cameras, the bit rate is limited by default. Constant bit rate is often used for this. The constant bit rate is kept at a fixed level. This can result in a constant high bit rate, and setting a low bit rate can result in poor image quality.
