EVALUATE THE QUALITY OF PROCESSED IMAGES IN TERMS OF NOISE REDUCTION AND CONTOUR PRESERVATION

Abstract

Wavelets are an interesting object of study of mathematics and a useful working tool in many applications such as image compression, signal / noise improvement, numerical analysis, in fields of science such as statistics, physics and even geology. For applications such as data compression, signal analysis, noise reduction, statistical estimation or detection, the method of processing wavelet coefficients differs from case to case. Also, the most useful properties of wavelet transformation differ from application to application. In this article we introduce a new filter with local statistics based on wavelet transforms to improve image quality, we introduce a measure for the quantitative evaluation of contour preservation after processing and describe a method for determining the noise dispersion in images

Keywords

• wavelet
• image processing
• noise reduction
• image contour preservation