In the coming Internet of Things (IoT) era, it is important to reduce volume data being output by sensors as well their power consumption. Since conventional image sensor for photography are often redundant in AI applications, that can lightweight use needed. this work, we propose a complementary metal oxide semiconductor (CMOS) (CIS) pixel circuit extract intensity gradients without analog mem...

The simultaneous capture of imaging data at multiple wavelengths across the electromagnetic spectrum is highly challenging, requiring complex and costly multispectral image devices. In this study, we investigate the feasibility of simultaneous multispectral imaging using conventional image sensors with color filter arrays via a novel comprehensive framework for numerical demultiplexing of the c...

Heterogeneous sensor networks (HSNs) are gaining popularity in diverse fields, such as military surveillance, equipment monitoring, and target tracking [41]. They are natural steps in the evolution of wireless sensor networks (WSNs) driven by several factors. Increasingly, WSNs will need to support multiple, although not necessarily concurrent, applications. Different applications may require d...

The key obstacle to communicating images over wireless sensor networks has been the lack of suitable processing architecture and communication strategies to deal with the large volume of data. High packet error rates and the need for retransmission make it inefficient in terms of energy and bandwidth. This paper presents novel architecture and protocol for energy efficient image processing and ...

Multi-sensor image registration is very important in the space image proceedings for its huge applying value. However, there are some difficulties from anisotropic multi-source spatial data. To consider the multi-resolution visual features in the image registration, we take the multi-resolution decomposition based on wavelet to direct the registration from the rough to the subtle, and then coll...

A new CMOS active pixel image sensor is reported. The sensor uses a 2.0 p n double-poly, double-metal foundry CMOS process and is realized as a 128 x 128 array of 40 p n x 40 pm pixels. The sensor features TTL compatible voltages, low noise and large dynamic range, and will be useful in machine vision and smart sensor applications.