fast and efficient method for block edge classification
Advanced multimedia applications will have to provide the user with the flexibility to rapidly access and manipulate the multimedia data. In order to achieve this goal, especially in limited computing environments, such as mobile-phone, the computational cost of extracting the visual features for image segmentation must be greatly reduced. In this paper, we investigate difference properties from three coefficients in the non-normalised Haar transform (NHT) domain and present a fast and efficient method to classify block edge using these properties. The proposed method significantly reduces the number of computational operations in the edge models determination with no multiplications and less addition operations. The experimental results are presented to show the effectiveness of the proposed method.
block edge non-normalised haar transform edge detection