Indian Journal of Science and Technology
DOI: 10.17485/IJST/v17i26.1385
Year: 2024, Volume: 17, Issue: 26, Pages: 2698-2707
Original Article
Jignesh Bhavsar1∗, Amrutbhai Patel2, Kalpesh Patel1
1Assistant Professor, Electronics and Communication Department, Government Engineering College, Sector 28, Gandhinagar, Gujarat, India
2Associate Professor, Electronics and Communication Department, Ganpat University- U.V.Patel College of Engineering, Mehsana, Gujarat, India
*Corresponding Author
Email: [email protected]
Received Date:10 May 2024, Accepted Date:17 June 2024, Published Date:28 June 2024
Objectives: Presenting images with sparse coefficients has a wide variety of real-time applications in compressive sensing. However, sparse representations of images present challenges due hidden similarities in the higher order moments. Literature suggests that the applications that involve natural images present a high level of similarity. Steerable basis, due to their rotational invariant property, have shown potential in sparse representation of natural images. Hence, the objective of the proposed study is to identify steerable basis that maximize the sparse representation of natural images. Method: Prior studies have used the angle of steerable basis either from the random assignment or derived from Hough transform. In this study, we propose the selection of steerable basis angle derived from maximum a prior method. Exploiting a steerable basis for better sparse representation requires the knowledge of proper steerable angles. Hence, we propose using MAP learning approach to identify this angle. Findings: The proposed method resulted in optimal steerable angle without the need for calculation of Hough Transform. In addition, the method also resulted in almost 10 percent improvement in sparse representation as indicated by higher Kurtosis. Novelty: We compare the measure of sparsity to evaluate the effectiveness of the proposed method. The results indicate the optimal sparsity from the proposed method as indicated from the maximum values of kurtosis compared to the previous related methods. In addition, the proposed method relaxes the requirement of manipulating Hough transform for optimal steerable angle.
Keywords: Sparsity, Steerable Basis, Wavelet Pyramid Structure, Image Compression, Hough Transform
© 2024 Bhavsar et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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