원문정보
초록
영어
Focal intention of this paper is to emphasize the appliance of the basic image statics for image restoration, de-blurring, de-noising, enhancement, edge detection, edge sharpening, finding edge position and many more root level appliances of image processing and computer vision. For the evaluation and study of restoration, de-blurring and de-noising, some noise molds are discussed and then for the estimation of the results of statistics, some amount of different types of noise have been added to the image and then the process of filtration is performed for scrutiny the effect. For scrutiny of enhancement some de-enhanced or low contrast image are used. Some image quality measures i.e., Mean Square Error, Peak Signal to Noise Ratio Discussion and conclusions drawn from the experimental results are the comparative study of these appliances of image processing. This paper provide the detail study of selected appliances of image processing and computer vision experimentally, evaluate the performance, compare result on literature and give trend what can be done for new and better loom.
목차
1. Introduction
2. Typical Image Noise Model [2, 3, 4, 5, 6, 7]
2.1. Gaussian Noise
2.2. Gamma Noise
2.3. Exponential Noise
2.4. Uniform
2.5. Salt and Pepper Noise
3. Image Statistical Measures as Filter [8]
2.1. Min [8]
2.2. Max [8]
2.3. Midpoint
2.4. Mean
2.5. Median [9, 10, 11, 12]
2.6. Alpha Trimmed
2.7. Standard Deviation [13, 14]
2.8. Variance [13, 14]
2.9. Covariance [13, 14]
4. Experimental Results and Discussion
5. Conclusion and Future Work
Acknowledgement
References