Hexagonal Search Based Compression Noise Estimation and Reduction in Video

Due to the advancement of digital devices more and more images and videos were captured using smart phones and digital devices. These images and videos were compressed at lower bit rates. Since, the available bandwidth is limited in nature. The compressed images and videos were affected with compression noise, in-order to remove such compression noise a content dependent noise reduction technique is being used here. The Video compression has become an unavoidable feature now a days. Proposed block matching motion estimation in video compression technique such as DCT (Discrete Cosine transform) is used to achieve optimal compression of individual frames and hexagon-based diamond search (HEXBDS) algorithm used for motion estimation. The proposed algorithm is efficient and robust. The proposed algorithm that reducing the bandwidth used by Motion Picture Expert Group (MPEG) algorithm. The objective of this paper is to propose a new algorithm which focuses on combing the hexagon-based search, which is faster than diamond search algorithm. Experiments are performed and obtained high accuracy of hexagon search based method.