Title :
Image Reconstruction Using Zernike Moment and Discrete Cosine Transform: A Comparison
Author :
Norhazman, Haryanti ; Jalil, Nurhanafifi Abd
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
Abstract :
Image reconstruction is very much concerned with the ability to reproduce image of possibly the same quality as original. This paper presents the comparison of Zernike Moment (ZM) and Discrete Cosine Transform (DCT) for image reconstruction in noise environment. Two types of images used are gray scale and binary. The original images are corrupted with three different noises that are Salt and Pepper, Gaussian and Random. Both original and corrupted images are reconstructed using Inverse Zernike Moment and Inverse Discrete Cosine Transform. The performance of each algorithm is measured by evaluating Peak Signal to Noise Ratio (PSNR) for the reconstructed gray scale of pixel size 64×64 and binary of pixel size 30×30 images. The comparison of PSNR values between the two techniques proves that Zernike Moment is less sensitive to noisy images compared to Discrete Cosine Transform.
Keywords :
Gaussian noise; Zernike polynomials; discrete cosine transforms; image denoising; image reconstruction; inverse transforms; DCT; Gaussian noises; PSNR; ZM; binary images; corrupted images; gray scale images; image pixel; image quality; image reconstruction; image reproduction; inverse Zernike moment; inverse discrete cosine transform; noise environment; peak signal to noise ratio; random noises; salt and pepper noises; Discrete cosine transforms; Feature extraction; Gaussian noise; Image reconstruction; Noise level; PSNR; Discrete Cosine Transform; Gaussian noise; Peak Signal to Noise Ratio; Random noise; Salt and pepper noise; Zernike Moments;
Conference_Titel :
Modelling Symposium (AMS), 2012 Sixth Asia
Conference_Location :
Bali
Print_ISBN :
978-1-4673-1957-7
DOI :
10.1109/AMS.2012.45