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Adaptive quality image reconstruction via a compressed sensing framework

机译:通过压缩传感框架进行自适应质量图像重建

摘要

What is disclosed is a system and method which reconstructs an N-pixel image of a scene such that Q pixel locations associated with identified regions of interest in a scene have a higher image quality when rendered relative to other pixels in the image. Acquisition and adaptive-quality compression are performed simultaneously by semi-synchronously or asynchronously temporally modulating an ordered set of sampling functions used to spatially modulate a pattern of light. The teachings hereof improve compression efficiency of a compressed sensing framework while improving encoding efficiency with respect to traditional compressed sensing techniques.
机译:所公开的是一种系统和方法,其重构场景的N像素图像,使得与场景中的所识别的感兴趣区域相关联的Q像素位置相对于图像中的其他像素而言具有更高的图像质量。通过半同步或异步时间调制用于空间调制光图案的一组有序的采样函数,可以同时执行采集和自适应质量压缩。本文的教导相对于传统的压缩感测技术提高了压缩感测框架的压缩效率,同时提高了编码效率。

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