摘要翻译：
CMOS技术的发展使得高分辨率图像传感器成为可能。这些图像传感器在产生的原始数据量、能量效率和帧速率方面提出了重大挑战。本文提出了一种新的成像系统设计方法和一种简化的新型图像传感器像素设计方法，使得压缩传感技术可以在传感器级上实现。这不仅降低了原始数据速率，而且减少了每个像素的晶体管计数，减小了像素尺寸，增加了填充因子，简化了ADC、JPEG编码器和JPEG解码器的设计，并将布线和地址解码器的尺寸减少了一半，从而显著地节省了能量。因此，对于给定的技术和芯片尺寸，CS具有提高图像传感器分辨率的潜力，同时显著降低功耗和设计复杂度。我们表明，它有潜力降低功耗约23%-65%。
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英文标题：
《Image Acquisition System Using On Sensor Compressed Sampling Technique》
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作者：
Pravir Singh Gupta and Gwan Seong Choi
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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英文摘要：
  Advances in CMOS technology have made high resolution image sensors possible. These image sensor pose significant challenges in terms of the amount of raw data generated, energy efficiency and frame rate. This paper presents a new design methodology for an imaging system and a simplified novel image sensor pixel design to be used in such system so that Compressed Sensing (CS) technique can be implemented easily at the sensor level. This results in significant energy savings as it not only cuts the raw data rate but also reduces transistor count per pixel, decreases pixel size, increases fill factor, simplifies ADC, JPEG encoder and JPEG decoder design and decreases wiring as well as address decoder size by half. Thus CS has the potential to increase the resolution of image sensors for a given technology and die size while significantly decreasing the power consumption and design complexity. We show that it has potential to reduce power consumption by about 23%-65%.
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PDF链接：
https://arxiv.org/pdf/1709.07041