کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
12059100 | 997017 | 2019 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Imaging through scattering media via support vector regression
ترجمه فارسی عنوان
تصویربرداری از طریق رسانه های پراکنده از طریق رگرسیون بردار پشتیبانی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی مواد
مواد الکترونیکی، نوری و مغناطیسی
چکیده انگلیسی
A clear image of observed object may deteriorate into an unrecognizable speckle pattern when encountering with heterogeneous scattering media, thus it is necessary to recover the object image from the speckle pattern. Here, a machine-learning-based support vector regression (SVR) method for imaging through scattering media is experimentally demonstrated. The proposed method learns inverse scattering function (ISF) with known object-and-speckle pairs, then reconstructs unknown object with the learned ISF. Essential normalization preprocessing is pre-performed before learning the ISF. Experiments show that more training pairs lead to more accurate ISF and higher reconstruction fidelity. The proposed method provides a general solution for imaging through scattering media and is expected to has its potential applications on inverse problems, such as phase retrieval.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics Communications - Volume 433, 15 February 2019, Pages 126-131
Journal: Optics Communications - Volume 433, 15 February 2019, Pages 126-131
نویسندگان
Hui Chen, Yesheng Gao, Xingzhao Liu, Zhixin Zhou,