CMOS wavelet compression imager architecture

A. Olyaei, R. Genov
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引用次数: 9

Abstract

The CMOS imager architecture implements /spl Delta//spl Sigma/-modulated Haar wavelet image compression on the focal plane in real time. The active pixel array is integrated with a bank of column-parallel first-order incremental over-sampling analog-to-digital converters (ADCs). Each ADC performs column-wise distributed focal-plane sampling and concurrent signed weighted average quantization, realizing a one-dimensional spatial Haar wavelet transform. A digital delay and adder loop performs spatial accumulation over multiple adjacent ADC outputs. This amounts to computing a two-dimensional Haar wavelet transform, with no overhead in time and negligent overhead in area compared to a baseline digital imager architecture. The architecture is experimentally validated on a 0.35 micron CMOS prototype containing a bank of first-order incremental oversampling ADCs computing Haar wavelet transform on an emulated pixel array output. The architecture yields simulated computational throughput of 1.4 GMACS with SVGA imager resolution at 30 frames per second.
CMOS小波压缩成像仪结构
CMOS成像器架构实现了焦平面上的/spl Delta//spl Sigma/调制Haar小波图像实时压缩。该有源像素阵列集成了一组列并行一阶增量过采样模数转换器(adc)。每个ADC进行逐列分布焦平面采样和并发符号加权平均量化,实现一维空间Haar小波变换。数字延迟加法器环路在多个相邻ADC输出上执行空间累加。这相当于计算二维哈尔小波变换,与基线数字成像仪架构相比,没有时间开销和面积开销。该架构在0.35微米CMOS样机上进行了实验验证,该样机包含一阶增量过采样adc,在模拟像素阵列输出上计算Haar小波变换。该架构在每秒30帧的SVGA成像仪分辨率下产生1.4 GMACS的模拟计算吞吐量。
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