The Design and Implementation of
Image Smoothing Algorithm based on DM6437
Abstract:Image is one of the main sources for mankind to acquire and exchange information. But during the image of formation, transmission and transformation, it often has some differences between the original image and the real natural scene because of many factors. People are usually not satisfied with the image for its blurring. Information extraction from machine is also a way for this blurring. So, we must to find some methods to improve the quality of the image.
Image smoothing technology is an image strengthening method which aims to reduce noise from the image. The common noises of image mainly contain additive noise, multiplicative noise, etc. The noise in image and signal are always intertwined with each other, especially in multiplicative noise. If not smooth the image properly, it will make the details of the image itself, such as the boundary contour, lines and so on, get blurring . How to smooth out the noise while preserving the detail of the image as much as possible is the main task of image smoothing technology.
The present Paper describes the causes of image noise and noise classification and discusses the principles and methods of the mean filter, median filter and Bathurst low-pass filter in detail. The paper then introduced the DSPs, designed the basic hardware system of the DSP and discussed the DM6437 development platform in detail. From the program execution time and the image peak of SNR analyzed and compared. Finally we obtained their advantages and disadvantages of two smoothing technology by my analysis and comparison.
Key words: Image Smoothing; Median-Filter; Mean-Filter; Butterworth LPF; DM6437