COMPARATIVE RESEARCH OF HAAR AND DAUBECHIES WAVELET IN DENOISING DIGITAL IMAGE OF SEMARANG DISTRICT REGION’S MAP

The objective of this research was to build digital image denoising system with Haar and Daubechies (Db3) Wavelet using Matlab R2009a and compare the effectiveness of the Haar and Daubechies (Db3) Wavelet in performing digital image denoising using parameters Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). A simulation of denoising system using software MATLAB R2009a was made to facilitate this research. The method used to construct simulation of denoising system is linear sequential model. Digital image data used in this simulation is digital image of Semarang District Region’s map. From the result of simulation, the method that has the best effectiveness in denoising digital image which generated with Gaussian noise and Speckle noise is the Daubechies (Db3) Wavelet, whereas for digital image which generated by Salt & Pepper noise is the Haar Wavelet

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