The Modified 2D-Haar Wavelet Transformation in Image Compression
P. Raviraj · 2007
Abstract: This paper proposes a modified simple but efficient calculation schema for 2D-Haar wavelet transformation in image compression. The proposed work is aimed at developing computationally efficient and effective algorithms for lossy image compression using wavelet techniques. The work is particularly targeted towards wavelet image compression using Haar Transformation with an idea to minimize the computational requirements by applying different compression thresholds for the wavelet coefficients and these results are obtained in fraction of seconds and thus to improve the quality of the reconstructed image. The promising results obtained concerning reconstructed images quality as well as preservation of significant image details, while, on the other hand achieving high compression rates and better image quality. It also exploits the correlation characteristics of the wavelet coefficients as well as second order characteristics of images in the design of improved lossy compression systems for medical and noisy images. Key words: Haar wavelet transform lossy compression technique threshold I. INTRODUCTION thresholds for the wavelet coefficients. That is, different Image compression is a fast paced and dynamically belonging in the different regions of interest, in which changing field with many different varieties of either each wavelet domain band of the transformed compression methods available. Images contain large image. Regarding the first method, its reconstruction