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Software-based super-resolution technology for low energy mobile applications

Software-based super-resolution technology for low energy mobile applications

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By eeNews Europe



The Super-Resolution algorithm was developed in-house by CEVA’s software engineering experts and is fully optimized to run in real-time using minimal processing workload and very low memory bandwidth on the CEVA-MM3101 imaging and vision platform. For example, in a 28 nm process, the CEVA-MM3101 processor is able to take four 5MPixel images and fuse them into a single high-resolution 20 MPixel image in a fraction of a second, while consuming less than 30 mW.

The company’s Super-Resolution algorithm enables the creation of high resolution images using low resolution image sensors and allows high-quality digital zoom in real-time on mobile devices. Traditionally, such applications were only available on PC systems, limited to offline processing of pre-captured images. The Super-Resolution algorithms were developed and optimized specifically for the CEVA-MM3101, using CEVA’s advanced Compiler technology and the CEVA-CV library functions. In addition, utilizing low resolution image sensors to perform these functions can result in significant cost savings for the end device, and enables systems manufacturers and OEMs to bring these advanced capabilities to any device.

Jeff Bier, founder of the Embedded Vision Alliance, commented: "Smartphones are the most commonly used devices for capturing still images and video, but the slim form factor of these devices places severe limitations on the quality of captured images. CEVA’s Super-Resolution algorithm, coupled with the CEVA-MM3101 imaging and vision processor, is an excellent example of how clever computer vision algorithms can be combined with optimized processor architectures to overcome physical limitations of imaging systems."

The CEVA-MM3101 offers SoC designers an unrivalled IP platform for integrating advanced imaging and vision capabilities into any device. Coupled with CEVA’s internally developed computational photography and imaging expert algorithms such as dynamic range correction (DRC), color enhancement, digital image stabilizer and now Super-Resolution, customers are equipped with a full development platform for image enhancement and computer vision applications for any end market, including mobile, home and automotive. The development platform also incorporates CEVA-CV™, CEVA’s comprehensive computer vision library with more than 600 of the most commonly used vision functions, CEVA’s Natural User Interface (NUI) partner software ecosystem, software development tools, hardware development kits and the AMF™ low energy Android Multimedia Framework.

www.ceva-dsp.com

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