Improvement From Additive Noise Removing From Digital Images using Filter mean | ||
| journal of kerbala university | ||
| Article 1, Volume 8, Issue 1, May 2012, Pages 231-244 PDF (0 K) | ||
| Abstract | ||
| Imaging systems always not give a perfect and ideal images . But , give degraded and noisy images , ( i.e. reduce the image resolution ) .when the parodied images with non , sharp edges . This causes from imaging systems limitation or from using digitized smoothing filters reduce image noise .The important image information contained in the image edge regions .So , when we want to estimate image quality must not be take for all image plane without recognize the important image regions . The most image evaluation criterion not duped mainly on determine the image edge and fine detail quality .But duped on evaluate the global quality for all image plane , or for only the homogenous regions . So that in this study and introduce anew approaches to evaluate image quality by Most image evaluation measurement don’t depend on determining image edges quality and its sharpness , but depend on general evaluation for all image plane , therefore , in this paper we shall examine the image quality by calculate the contrast , entropy , and the mean of error square in the image measurements to evaluate the image goodness and then the efficiency of different processing for digital image . We depend on effects of image smoothing to remove Gaussian noise by using (average filter mean filter )and determine the amount of blurring in image | ||
|
Statistics Article View: 162 PDF Download: 54 |
||