Imagination Blog

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Tag: AI Research

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Imagination’s neural network accelerator and Visidon’s denoising algorithm prove to be perfect partners

This blog post is a result of a collaboration between Visidon, headquartered in Finland and Imagination, based in the UK. Visidon is recognised as an expert in algorithms for camera image enhancement and analysis and Imagination has a series of world-beating neural network accelerators (NNA) with performance up to 100 TOPS per second per core. The problem tackled in this blog post is denoising images from conventional colour cameras. The solution is in two parts: 1. Algorithms that remove the noise without damaging image detail. 2. A high-performance convolution engine capable of running a trained neural network that takes a colour image as input and outputs a denoised colour image.

ai edge

Reduced Operation Set Computing (ROSC) for Flexible, Future-Proof, High-Performance Inference

Designers of neural network accelerator (NNA) IP have a Herculean task on their hands: making sure that their product is sufficiently general to apply to a very wide range of current and future applications, whilst guaranteeing high performance. In the mobile, automotive, data centre and embedded spaces targeted by Imagination’s cutting-edge IMG Series4 NNAs, there even more stringent constraints on bandwidth, area and power consumption. The engineers at Imagination have found innovative ways to address these daunting challenges and deliver ultra-high-performance and future-proof IP.

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