Design of High Dynamic Range and Digitalized Readout Integrated Circuit for LWIR FPAs This paper presents an optimized design of digitalized readout integrated circuits (ROICs) to enlarge the dynamic range of long wave infrared (LWIR) focal plane arrays (FPAs) with frame rate guaranteed. The proposed design adopts twostep quantization structure. Each readout cell contains a 9bit analogtodigital converter (AD) to realize the coarse quantization within 30xc2xb5m pitch. A pipeline AD with 7.9ENoB is designed at the column bus to complement the fine quantization. The combined 16bit outputcode comprises 9bit inpixel code and 7bit AD quantization results. Simulation results show that the resolution is 16bit and the full well capacity is 640Me with 5ms integration time and 1V analog conversion range. The SNR is 86dB with 199fF integration capacitor and the uncorrected transmission linearity is 99.93%. The proposed design compromises the resolution, frame rate and power consumption. The design is promising in the thirdgeneration ROIC applications.

DMD Mask Construction to Suppress Blocky Structural Artifacts for Medium Wave Infrared Focal Plane ArrayBased Compressive Imaging With medium wave infrared (MWIR) focal plane arraybased (FPA) compressive imaging (CI), highresolution images can be obtained with a lowresolution MWIR sensor. However, restricted by the size of digital micromirror devices (DMD), aperture interference is inevitable. According to the system model of FPA CI, aperture interference aggravates the blocky structural artifacts (BSA) in the reconstructed images, which reduces the image quality. In this paper, we propose a novel DMD mask design strategy, which can effectively suppress BSA and maximize the reconstruction efficiency. Compared with random binary codes, the storage space and computation cost can be significantly reduced. Based on the actual MWIR FPA CI system, we demonstrate the proposed DMD masks can effectively suppress the BSA in the reconstructed images. In addition, a new evaluation index, blocky root mean square error, is proposed to indicate the BSA in FPA CI.