Efficiency of Image Processing with Parallel Techniques

HENRY ANGEL PACCO ZUVIETA; FRED TORRES CRUZ

doi:10.20944/preprints202408.0178.v1

Preprint Article Version 1 This version is not peer-reviewed

Version 1 : Received: 1 August 2024 / Approved: 2 August 2024 / Online: 2 August 2024 (11:16:20 CEST)

Abstract—Image processing is a computationally intensive task that can benefit significantly from parallel techniques. In this study, we evaluate the efficiency of image processing using parallel techniques compared to sequential techniques. We use Dask to parallelize the loading and processing of images and compare the execution times for various image processing techniques, including smoothing, edge detection, rotation, and thresholding. The results show that parallel processing significantly reduces execution time compared to sequential processing.

Index Terms—image processing, parallelism, Dask, efficiency

Engineering, Control and Systems Engineering

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Efficiency of Image Processing with Parallel Techniques

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