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Systems and methods for compressive image sensor techniques utilizing sparse measurement matrices

机译:利用稀疏测量矩阵的压缩图像传感器技术的系统和方法

摘要

Systems and methods for compressive image sensor techniques based on sparse measurement matrices are disclosed. A method to perform compressive sensing (CS) measurement operations for image sensors limits pixel summation to be within neighboring pixels and hence dramatically simplifies CS image sensor circuits and reduces their power consumption while providing better image quality compared to conventional random measurement matrix based methods. A sparse measurement matrix is applied to pixel data to generate a desired number of summation groups, each summation group consisting of outputs from an equal number of pixel cells. Each pair of summation groups contains the same number of shared outputs from pixel cells. From the summation groups, an image captured by the pixel cells is recovered.
机译:公开了用于基于稀疏测量矩阵的压缩图像传感器技术的系统和方法。与基于常规随机测量矩阵的方法相比,一种对图像传感器执行压缩感测(CS)测量操作的方法将像素求和限制在相邻像素之内,从而显着简化了CS图像传感器电路并降低了其功耗,同时提供了更好的图像质量。将稀疏测量矩阵应用于像素数据,以生成所需数量的求和组,每个求和组由相等数量的像素单元的输出组成。每对求和组都包含相同数量的像素单元共享输出。从求和组中,恢复由像素单元捕获的图像。

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