Maximum and Minimum Power Adaptation Analysis for Transmission of Different Image Formats Using Unilevel Haar Wavelet

This paper addresses power allocation methods for multimedia signals over wireless channels. The aim of this paper is to minimize total power allocated for image compression and transmission, while the power for each bit is kept at a predetermined value. Maximum and minimum power control algorithms are proposed. In this work, an approach for minimizing the total power allocated to a multimedia like image due to source compression and transmission subject to a fixed bit source distortion using different parameters are analysed. Simulations are performed using haar wavelet over AWGN channel. Structural Content (SC), Average Difference, Normalized Absolute Error (NAE), etc are analysed. Maximum Power Adaptation Algorithm shows better performance than Conventional Power Adaptation Algorithm. Keywords— PSNR, MSE, SC, NAE, Correlation, Image formats