DL-SI-DHM: a deep network generating the high-resolution phase and amplitude images from wide-field images
نویسندگان
چکیده
منابع مشابه
Generating Anaglyphs from Light Field Images
Light-field imaging systems have received a lot of attention recently, especially with the release of Lytro cameras for consumer application. Extensive research has been conducted in optimizing and developing applications for light-field images [1,2]. To investigate the potential use of light-field imaging systems as an experimental analysis tool, an automated image processing algorithm was dev...
متن کاملClassification of Ultra-high Resolution Images using Soft Computing
The main objective of this paper is to use a computational intelligence algorithm for preparing a mapping map that categorizes different patterns of identification of infected areas and changes in radiation pollution. In this paper, the use of the fuzzy inference system has been proposed to determine the degree of radiation contamination in the regions. The study uses ultra-high resolution spec...
متن کاملGenerating High Quality Visible Images from SAR Images Using CNNs
We propose a novel approach for generating high quality visible-like images from Synthetic Aperture Radar (SAR) images using Deep Convolutional Generative Adversarial Network (GAN) architectures. The proposed approach is based on a cascaded network of convolutional neural nets (CNNs) for despeckling and image colorization. The cascaded structure results in faster convergence during training and...
متن کاملObject-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملHigh Resolution Images from a Sequence of Low Resolution Observations
This chapter discusses the problem of obtaining a high resolution (HR) image or sequences of HR images from a set of low resolution (LR) observations. This problem has also been referred to in the literature by the names of super-resolution (SR) and resolution enhancement (we will be using all terms interchangeably). These LR images are under-sampled and they are acquired by either multiple sen...
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: Optics Express
سال: 2021
ISSN: 1094-4087
DOI: 10.1364/oe.424718