Reduce Reference Image Quality Assessment for High Dynamic Range based on Tone-Mapping Operator

Syafa'ah, Salmaa Badriatu (2019) Reduce Reference Image Quality Assessment for High Dynamic Range based on Tone-Mapping Operator. Tugas Akhir (S1) - thesis, UNIVERSITAS BAKRIE.

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Abstract

This thesis propose an objective image quality assessment for High Dynamic Range (HDR) images with reduced reference based on Tone Mapping Operator (TMO). As we know, HDR images can now be displayed on a standard device such as a smartphone. The valuation method here is classified as the Reduce-Reference (RR) method as only partial reference information is available. First, the TMO images and the reference images is extracted. Then, the images quality score is measured with the features extracted. This study use three main models i.e. Quality Assessment 1 (QA1), Quality Assessment 2 (QA2), and Quality Assessment 3 (QA3). To know how well this model, Pearson and Spearman correlation is applied. As the ground thruth data, public subjective score is utilized. The result show that feature combine is the best feature with QA1\_Cubed as the highest correlation.

Item Type:	Thesis (Tugas Akhir (S1) - )
Uncontrolled Keywords:	Objective Quality Assessment, Tone Mapping Operator (TMO), Reduce-Reference (RR), High Dynamic Range (HDR)
Subjects:	Computer Science > Image Processing Computer Science > Informatics Computer Science > Information analysis Thesis > Thesis (S1)
Divisions:	Fakultas Teknik dan Ilmu Komputer > Program Studi Informatika
Depositing User:	Salmaa Badriatu Syafa'Ah
Date Deposited:	28 Aug 2019 12:37
Last Modified:	28 Aug 2019 12:37
URI:	https://repository.bakrie.ac.id/id/eprint/3103

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