The College of Education for Pure Sciences, Department of Mathematics, organized a scientific lecture on "Digital Image Restoration Analysis Based on a Model in Spatial and Frequency Domains." The lecture, presented by student Nada Sarhan Matani, included a study on digital image restoration using a model in both spatial and frequency domains.
The model aims to restore damaged parts of images while preserving spatial structure and fine details.
The model's performance was tested in multiple color spaces to study the effect of color space choice on restoration quality.
The application was also extended to the frequency domain using wavelet transforms to analyze the image at different frequency levels.
The results showed that the model achieves good numerical stability and reduces optical distortions.
Furthermore, the integration of the mathematical properties of wavelets with the physical model contributed significantly to the improvement.
This work represents an advanced approach in combining physical models and mathematical transformations to achieve effective digital image restoration
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