期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：11
出版社：Journal of Theoretical and Applied
摘要：Haar transform is one of the simplest and basic transformation from the multi-resolution spectrum. The attracting features obtained from Haar transform make it a potential candidate in modern applications, such as signal and image compression. The Haar wavelet transform provides mean values that compress the image so that it takes up much less storage space, and therefore transmits faster electronically and in progressive levels of detail. The main objective of this work is to modify the weighting factor in or der to study their effects on image compression. This paper tries to implement different scale of weighting factor and study their performance on the overall system of compression. Scale of weighting factor is used in order to prevent the pixel value from exceeding their limits. Different values of weighting factor are applied, these values are spans into two range to evaluate the implemented system. These values are implemented for various levels of 2D-DWT then we measure the performance via mean square error (MSE) and peak signal to noise ration (PSNR) in each step. The implemented system is simulated for wide range of weighting factors. The obtained results indicated that a good results can be achieved between a=1.6 to a=5.0.
关键词：2D-DWT; Image Compression; Discrete Wavelet Transform; Haar Transform; Weighting Factor
