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ACCELERATING IMAGE FILTERING PROCESSES ON NVIDIA GRAPHICS PROCESSOR USING CUDA TECHNOLOGY

Shakhzod JavlievDepartment of "Computer Systems" Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, UzbekistanKhurshid TuraevAssistant, Department of Computer Systems Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan

Zenodo (CERN European Organization for Nuclear Research)repository2026en

ABI

Annotatsiya

With technological advancements, the volume of data to be processed is rapidly increasing. Image-based data, in particular, require significant computational resources, slowing down processing. This study investigates the efficiency of parallel image filtering on large-scale data using GPU. Filtering was performed in parallel on an NVIDIA graphics processor with CUDA technology, and results were compared to sequential CPU processing. The study shows that GPU-based processing with CUDA significantly outperforms CPU execution, achieving up to ~235 times faster performance for large images. These results confirm the high efficiency of GPU and CUDA technology for image processing.

Mavzular

Image and Signal Denoising Methods Medical Image Segmentation Techniques Image Enhancement Techniques

Identifikatorlar

DOI: 10.5281/zenodo.19228158

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