Online Deconvolution for Industrial Hyperspectral Imaging Systems
نویسندگان
چکیده
منابع مشابه
Adaptive Deconvolution for Pushbroom Hyperspectral Imaging Systems
This paper introduces a framework based on the LMS algorithm for sequential deconvolution of images acquired by a pushbroom hyperspectral imaging system. Considering a sequential model of image blurring phenomenon, we derive a zero-attracting LMS (ZA-LMS) algorithm for 2D image deconvolution. Its transient behavior is analyzed in the mean and mean-square sense. For hyperspectral images, a spect...
متن کاملFast online deconvolution of calcium imaging data
Fluorescent calcium indicators are a popular means for observing the spiking activity of large neuronal populations, but extracting the activity of each neuron from raw fluorescence calcium imaging data is a nontrivial problem. We present a fast online active set method to solve this sparse non-negative deconvolution problem. Importantly, the algorithm 3progresses through each time series seque...
متن کاملInformation efficiency in hyperspectral imaging systems
In this work we develop a method for assessing the information density and efficiency of hyperspectral imaging systems that have spectral bands of nonuniform width. Imaging system designs with spectral bands of nonuniform width can efficiently gather information about a scene by allocating bandwidth among the bands according to their information content. The information efficiency is the ratio ...
متن کاملA collection of hyperspectral images for imaging systems research
A set of hyperspectral image data are made available, intended for use in modeling of imaging systems. The set contains images of faces, landscapes and buildings. The data cover wavelengths from 0.4 to 2.5 micrometers, spanning the visible, NIR and SWIR electromagnetic spectral ranges. The images have been recorded with two HySpex line-scan imaging spectrometers covering the spectral ranges 0.4...
متن کاملBeamforming-deconvolution: A novel concept of deconvolution for ultrasound imaging
In ultrasound (US) imaging, beamforming is usually separated from the deconvolution or some other post-processing techniques. The former processes raw data to build radio-frequency (RF) images while the latter restore high-resolution images, denoted as tissue reflectivity function (TRF), from RF images. This work is the very first trial to perform deconvolution directly with raw data, bridging ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SIAM Journal on Imaging Sciences
سال: 2019
ISSN: 1936-4954
DOI: 10.1137/18m1177640