Image Restoration and Enhancement Using Transform Based Techniques

Image restoration and enhancement operations are performed using spatial domain and transform domain techniques to enhance the visual quality of images. Spatial domain techniques process the image in the pixel domain, where as the transform domain processes coefficients of the transform. To perform these operations, popular transforms are the discrete cosine transform (DCT) and discrete wavelet transform (DWT). We use techniques based on DCT such as MCE, MCE-DRC, SF-CES, and TW-CS-BLK, to optimize noise reduction while preserving image quality. The DWT uses multiscale analysis, applying different wavelet filters for decomposition and reconstruction. The results show better enhancement for image sharpness while maintaining structural integrity. For performance evaluation, popular metrics such as PSNR, MSE, and SSIM are used, and the results are presented. In addition, a GUI was developed for the interactive application of techniques and real-time visualization of results.