The growing popularity of digital image use by people in various fields of science requires high-quality digital images are used. On the other hand, the presence of noise in the digital image caused by various sources that the decreasing quality of the digital image. To handle this problem, need to be improved by reducing image noise in digital image so that image quality can be improved.
Wavelet Transform can be used to process digital image enhancement. With the Wavelet Transform, the digital image can be decomposed into several components. Next to the components of noise reduction surgery is performed using Context-Based Spin Cycle Bayes Shrink. The results obtained then inverse wavelet transformed into the image of the intensity noise has been reduced significantly. Result of image noise reduction process is relatively much higher quality than the previous image is
tainted by the presence of noise.
Gazali W and Soeparno H. (2010). Perancangan Program Aplikasi Pengurangan Noise Pada Citra Digital menggunakan Metode Berbasis Wavelet. MatStat, 10 (1), 76-86.