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@article{178533,
        author = {Amanpreet Kaur Sandhu},
        title = {Comparative Analysis of Image Restoration Techniques for MRI Brain Scans: A Study on Filtering and Wavelet-Based Methods},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5228-5231},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178533},
        abstract = {This paper presents a comparative study of image restoration techniques applied to MRI brain scans and general test images. The restoration methods include median filtering, adaptive filtering, linear filtering, and wavelet-based restoration. Using 2-D discrete wavelet transforms (DWT), the images were decomposed into approximation and detail components, followed by wavelet thresholding to suppress noise. The performance of hard- and soft-thresholding methods was evaluated to enhance image quality while preserving crucial structural details. Error metrics, such as Mean Square Error (MSE), were used to assess the restoration quality, while image histograms and contour plots were analyzed to examine contrast enhancement and visual clarity.},
        keywords = {image processing, MRI, MSE, median filter, wavelet},
        month = {May},
        }