Low-value Laplacian pyramid coefficient prediction for faster radiography image processing
Vladimir S. Ostojic, Dorde S. Starcevic, Vladimir S. Petrovic · 2016
We propose a method for predicting low-value Laplacian pyramid details that can be used for radiographic image processing time reduction via reorganization of the Laplacian pyramid calculation process. High resolution low-value detail prediction is based on the value of coarser details. Low-value details are then omitted in Laplacian pyramid calculation as well as in the image enhancement process. Proposed algorithm was evaluated on a database consisting of real medical images. Image degradation introduced by the proposed method was measured using structural similarity index (SSIM). It was shown that average processing time reduction of 4.62 % can be achieved without noticeable processed image degradation. The average SSIM obtained on the database was 0.995.