It has been relied upon and is still found in the fields of scientific research, especially astronomy, medicine (for accurate disease diagnosis), biology, archeology, and industry on video and still images. The low accuracy and quality of some videos are often due to a poor lens type or angle, which may be due to a lack of photographic experience, or because of the older sections, which can be affected by the coolness of the surrounding perimeter. This research was completed using simple methods of processing based on using a program to convert video to individual images, then a number of image processing operations to improve quality, and finally re-assemble the images to the video more accurately than the original and in our own way. The proposed process consists of several steps: cutting the video clip into a set of images, performing various operations, such as using the contrast filter first, discovering the edges, smoothing the image, and improving image density prior to assembly. We finally assemble the images back into clips. This has been the process we used on many of the films affected by noise, or damaged for a long time, and has proven our ability to improve the quality of the video.
Differences in image density adjustment parameters on the image matching accuracy of a floor‐mounted kV X‐ray image‐guided radiation therapy system