A high-performance histogram-enhanced low-bandwidth video processing algorithm for digital image processing system

Throughout the years, digital cameras have experienced notable improvements in resolution and sensitivity. Even with these developments, the capacity of contemporary digital cameras to take photos in low light conditions with a wide dynamic range remains restricted. These cameras often use automatic exposure management to provide images with an extensive dynamic range, although the longer exposure period usually causes motion blur. While several methods have been developed to improve low-light video, most of them only look at material that was taken in relatively gloomy environments. This work's description of video processing would allow a user to extract a higher-quality video from a lower-quality video, which would be helpful in recognizing criminals responsible for the aforementioned crimes. The study's frames were extracted from surveillance footage by us, and each one went through automatic gamma correction, interpolation on filter covering the sensor, and color balancing. The video is then recreated using the improved photos. After processing, the video has a better and more refined quality. Extending this idea, video is compressed using a lossless compression technique to minimize bandwidth and time restrictions.