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Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network

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Bibliographic Details
Main Authors: Yunfeng, Zhao, Stuart, Ferguson, Huiyu, Zhou
Format: Book
Language:English
Published: Springer 2023
Subjects:
Representing Camera Response Function
Fully Connected Neural Network
Online Access:https://link.springer.com/article/10.1007/s11760-022-02351-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8246
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spelling oai:localhost:PNK-82462023-04-24T07:02:20Z Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network Yunfeng, Zhao Stuart, Ferguson Huiyu, Zhou Representing Camera Response Function Fully Connected Neural Network CC BY Modelling the mapping from scene irradiance to image intensity is essential for many computer vision tasks. Such mapping is known as the camera response. Most digital cameras use a nonlinear function to map irradiance, as measured by the sensor to an image intensity used to record the photograph. Modelling of the response is necessary for the nonlinear calibration. In this paper, a new high-performance camera response model that uses a single latent variable and fully connected neural network is proposed. The model is produced using unsupervised learning with an autoencoder on real-world (example) camera responses. Neural architecture searching is then used to find the optimal neural network architecture. A latent distribution learning approach was introduced to constrain the latent distribution. 2023-04-24T07:02:20Z 2023-04-24T07:02:20Z 2022 Book https://link.springer.com/article/10.1007/s11760-022-02351-8 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8246 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Representing Camera Response Function
Fully Connected Neural Network
spellingShingle Representing Camera Response Function
Fully Connected Neural Network
Yunfeng, Zhao
Stuart, Ferguson
Huiyu, Zhou
Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
description CC BY
format Book
author Yunfeng, Zhao
Stuart, Ferguson
Huiyu, Zhou
author_facet Yunfeng, Zhao
Stuart, Ferguson
Huiyu, Zhou
author_sort Yunfeng, Zhao
title Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
title_short Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
title_full Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
title_fullStr Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
title_full_unstemmed Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
title_sort representing camera response function by a single latent variable and fully connected neural network
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11760-022-02351-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8246
_version_ 1764177434801864704
score 8.891053

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