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Assessing the Quality of Tone Mapped Images Based On Structural Similarity

R. Madhanmohan1 , G. Manju2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-4 , Page no. 32-37, Apr-2014

Online published on Apr 30, 2014

Copyright © R. Madhanmohan, G. Manju . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: R. Madhanmohan, G. Manju , “Assessing the Quality of Tone Mapped Images Based On Structural Similarity,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.4, pp.32-37, 2014.

MLA Style Citation: R. Madhanmohan, G. Manju "Assessing the Quality of Tone Mapped Images Based On Structural Similarity." International Journal of Computer Sciences and Engineering 2.4 (2014): 32-37.

APA Style Citation: R. Madhanmohan, G. Manju , (2014). Assessing the Quality of Tone Mapped Images Based On Structural Similarity. International Journal of Computer Sciences and Engineering, 2(4), 32-37.

BibTex Style Citation:
@article{Madhanmohan_2014,
author = {R. Madhanmohan, G. Manju },
title = {Assessing the Quality of Tone Mapped Images Based On Structural Similarity},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2014},
volume = {2},
Issue = {4},
month = {4},
year = {2014},
issn = {2347-2693},
pages = {32-37},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=104},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=104
TI - Assessing the Quality of Tone Mapped Images Based On Structural Similarity
T2 - International Journal of Computer Sciences and Engineering
AU - R. Madhanmohan, G. Manju
PY - 2014
DA - 2014/04/30
PB - IJCSE, Indore, INDIA
SP - 32-37
IS - 4
VL - 2
SN - 2347-2693
ER -

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Abstract

with recent advances in imaging and computer graphics technologies, HDR images are becoming more widely available. To display high dynamic range (HDR) images onto conventional displayable devices that have low dynamic range (LDR) such as monitors and printers, an increasing number of tone mapping operators (TMOs) that convert HDR to LDR images have been developed. In order to assess the quality of several TMO, an objective quality assessment algorithm named Tone Mapped image Quality Index (TMQI) is proposed for tone mapped images. Initially the HDR image is generated for which the three low, Mid and high exposure images are subjected to HDR image generation and the created HDR image is stored in .hdr format which serves as the input to Tone mapped Images Quality Index Algorithm (TMQI). It combines a multi-scale signal fidelity measure based on a modified structural similarity (SSIM) index and a naturalness measure based on intensity statistics of natural images. It converts high dynamic range (HDR) to low dynamic range (LDR) images and also generate the multi scale structural fidelity measure. Then the laplacian pyramid is computed for Exposure images. Finally the structural fidelity and laplacian pyramid images are fused which produces the tone mapped images.

Key-Words / Index Term

Dynamic Range; Tone Mapping; Quality Assessment; Structural Similarity

References

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