Implementation and Optimization of Image Processing on the Map of SABRE i.MX_6

Authors

  • Waheed Muhammad SANYA  Department of Computer Science and Information Technology, the State University of Zanzibar, Zanzibar, Tanzania.
  • Gaurav BAJPAI  Department of Computer Engineering and Software Engineering, University of Rwanda, Kigali, Rwanda.
  • Haji Ali HAJI  Department of Computer Science and Information Technology, the State University of Zanzibar, Zanzibar, Tanzania

DOI:

https://doi.org/10.32628/CSEIT217690

Keywords:

Salt & Pepper Noisy, Algorithm optimization, OpenCV, Median Filter, Sobel Filter

Abstract

Vision relieves humans to understand the environmental deviations over a period. These deviations are seen by capturing the images. The digital image plays a dynamic role in everyday life. One of the processes of optimizing the details of an image whilst removing the random noise is image denoising. It is a well-explored research topic in the field of image processing. In the past, the progress made in image denoising has advanced from the improved modeling of digital images. Hence, the major challenges of the image process denoising algorithm is to advance the visual appearance whilst preserving the other details of the real image. Significant research today focuses on wavelet-based denoising methods. This research paper presents a new approach to understand the Sobel imaging process algorithm on the Linux platform and develop an effective algorithm by using different optimization techniques on SABRE i.MX_6. Our work concentrated more on the image process algorithm optimization. By using the OpenCV environment, this paper is intended to simulate a Salt and Pepper noisy phenomenon and remove the noisy pixels by using Median Filter Algorithm. The Sobel convolution method included and used in the design of a Sobel Filter and then process the image following the median filter, to achieve an effective edge detection result. Finally, this paper optimizes the algorithm on SABRE i.MX_6 Linux environment. By using algorithmic optimization (lower complexity algorithm in the mathematical sense, using appropriate data structures), optimization for RISC (loop unrolling) processors, including optimization for efficient use of hardware resources (access to data, cache management and multi-thread), this paper analyzed the different response parameters of the system with varied inputs, different compiler options (O1, O2, or O3), and different doping degrees. The proposed denoising algorithm shows the meaningful addition of the visual quality of the images and the algorithmic optimization assessment.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-12-30

Issue

Volume 7, Issue 6, November-December-2021

Section

Research Articles

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How to Cite

[1]
Waheed Muhammad SANYA, Gaurav BAJPAI, Haji Ali HAJI, " Implementation and Optimization of Image Processing on the Map of SABRE i.MX_6" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 6, pp.402-417, November-December-2021. Available at doi : https://doi.org/10.32628/CSEIT217690