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ترميم الصور باستخدام تقنيات محورة غير خطية == Image Restoration Using Adaptive Nonlinear Techniques
Author name:
محمد خضير كاظم
Supervisor name:
اياد عبد العزيز العاني | صلاح عبد الحميد صالح
General topic:
Physics
Specific topic:
Physics
Degree:
Master
University:
Al-Nahrain University - College Of Science - Physics Department
Language:
English
University location:
Baghdad
First pages:
26T1758 - p.pdf
Abstract:
Image restoration is the process of finding an approximation to thedegradation process and find appropriate inverse process to estimate theoriginal image.An iterative restoration technique(Tikhonov method) was adapted.The adapted filter was designed for restoring RGB satellite images thatare blurred with space - invariant point spread function, Gaussianfunction, and corrupted with additive noise, and salt & pepper noise.Different degradation parameters, i.e. different signal to noise ratio wereconsidered and different noise density.The results using an adaptive filter were compared,quantitatively, with different types of conventional restoration techniques,(such as inverse filter, Least - Squares filter (Wiener Filter), andConstrained Least - Squares filter) using Mean Square Error (MSE).Results show that The Mean Square Error of the restored imagesdecreases with increasing the number of iteration until the resultconvergence. Also the ratio of the MSE of the degraded image to therestored image will increase with decreasing SNR for Gaussian noise,and with increasing noise density for salt and pepper noise respectively,then Results show this method has better performance for restoring thedegraded images, especially for low signal to noise ratio, and for highnoise density.
