A Novel Approach for Image Edges Sharpening And Enrich the Image Quality Using Various Transforms and SVD Methods
Satellite colour photographs are used in a variety of fields of study. This paper discusses a modern approach for enhancing satellite images that employs the wavelet and threshold decomposition concepts. The suggested enhancement technique decomposes the input image into subbands using DWT. Theoretically, threshold decomposition is a useful method in nonlinear image processing. The orientation of the edges is determined using threshold decomposition, which are then sharpened using morphological filters. This approach would provide superior qualitative and quantitative outcomes. The upgrade is carried out in terms of both resolution and comparison. DWT, SWT, and SVD are included in the suggested process. The suggested approach employs DWT and SWT to improve resolution. These transformations break down a given picture into four sub-bands, one of which is low frequency and the others high frequency. Conventional interpolation methods are used to interpolate the HF elements. The interpolated high and low frequency components are then combined using IDWT. We use SVD and DWT to improve the contrast. The findings of the experiments reveal that the proposed approach outperforms traditional approaches for both colour and grayscale photographs. For real-time execution, this enhanced picture could be stored in an FPGA.