image processing concepts | Techniques | Results | References |
MATLAB used to turn the rape leaf image into a grayscale image | Their technique based on OpenMP. | Their optimization approach significantly improves the performance and the maximum speedup achieved can reach 1.59. | Tang et al. [3] |
Serial and Parallel Technologies with Image Processing Using Inverse Filter | Their technique makes use of OpenMP and OpenCV. | They achieved a speed-up and a reduction in processing time by using a parallel computing approach to bone scan image processing compared to a serial computing approach. | Mallegowda, M et al. [4] |
Image Mean Filtering Based on OpenCL | Their technique involves a hierarchical weighted mean filtering parallel algorithm specifically designed for OpenCL, which leverages multi-layer GPU architecture to efficiently distribute image processing tasks across workgroups and work-items for accelerated performance. | By parallelizing their image processing algorithms on GPUs with OpenCL, the researchers achieved efficient and high-speed processing of large datasets, preparing their work for real-time applications in the face of ever-growing data volumes. | Han Xiao et al. [5] |
Multicore image processing using OpenMP | Their technique used OpenMP | By leveraging parallelism through OpenMP, programmers can modify their single-threaded code to run efficiently on multiple cores, thereby potentially enhancing the performance of image processing algorithms. | Greg Slabaugh et al. [6] |