Enhanced Image Processing beyond Baseband: CPU/GPU Process Model Unlocks Performance Possibilities
The speed and quality of traditional baseband approaches to image enhancement is now being eclipsed by commodity enterprise computing technology, with emerging file-based solutions focused on frame-rate conversions, de-noising, resolution-scaling, and other techniques for improving image quality. This paper will examine how continually increasing CPU power combined with increasingly sophisticated GPU-based algorithms enables ever-greater performance and output quality, with the significant operational and cost benefits found only in highly automated and massively parallelized grid-based processing workflows.
- Published
- 2013-10
- Content type
- Original Research
- Keywords
- file-based, image-enhancement, computing technology, IT, baseband, CPU, GPU, processing, parallel, grid-based, frame-rate conversion, standards conversion, image processing, algorithms, transcoding
- DOI
- 10.5594/M001529
- ISBN
- 978-1-61482-953-9
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