Three-Dimensional Video Super-Resolution Reconstruction Scheme Based on Histogram Matching and Recursive Bayesian Algorithms

Ghalib H. Alshammri; Amani K. Samha; Walid El-Shafai; Emad A. Elsheikh; Ebrahim Abdel Hamid; Mohamed I. Abdo; Mohammed Amoon; Fathi E. Abd El-Samie

doi:10.1109/ACCESS.2022.3153409

IEEE Access (Jan 2022)

Three-Dimensional Video Super-Resolution Reconstruction Scheme Based on Histogram Matching and Recursive Bayesian Algorithms

Ghalib H. Alshammri,
Amani K. Samha,
Walid El-Shafai,
Emad A. Elsheikh,
Ebrahim Abdel Hamid,
Mohamed I. Abdo,
Mohammed Amoon,
Fathi E. Abd El-Samie

Affiliations

Ghalib H. Alshammri: ORCiD; Department of Computer Science, Community College, King Saud University, Riyadh, Saudi Arabia
Amani K. Samha: ORCiD; Management Information System Department, College of Business Administration, King Saud University, Riyadh, Saudi Arabia
Walid El-Shafai: ORCiD; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt
Emad A. Elsheikh: Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt
Ebrahim Abdel Hamid: Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt
Mohamed I. Abdo: Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt
Mohammed Amoon: ORCiD; Department of Computer Science, Community College, King Saud University, Riyadh, Saudi Arabia
Fathi E. Abd El-Samie: ORCiD; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

DOI: https://doi.org/10.1109/ACCESS.2022.3153409
Journal volume & issue: Vol. 10
pp. 41935 – 41951

Abstract

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Multimedia Super-Resolution (SR) reconstruction is an essential and mandatory process for different visualization functions. Recently, several schemes have been suggested for single- and multi-image SR reconstruction. This work presents an effective SR reconstruction scheme for visual quality and resolution enhancement of 3D Video (3DV) sequences. The idea behind the proposed 3DV SR reconstruction scheme is the utilization of a recursive Bayesian algorithm for improving the resolution of the degraded 3DV sequences with down-sampling, blurring, and noise effects. In addition, a significant stage of histogram matching based on a visual image with a better-distributed histogram is employed. The main aim of employing the histogram matching stage for enhancing the 3DV sequence is to introduce a dynamic range modification of each 3DV frame. Hence, it presents a 3DV sequence with an enhanced distribution of intensities. This improves the whole performance efficiency of the suggested scheme. The performance of the proposed SR reconstruction scheme is compared with that of the conventional bicubic interpolation scheme. Comparisons with recent and related SR reconstruction schemes are also introduced. Simulation results reveal that the proposed scheme achieves superior outcomes in terms of Structural Similarity (SSIM) index, local contrast, average gradient, Mean Square Error (MSE), edge intensity, entropy, and Peak Signal-to-Noise Ratio (PSNR) of the resulting 3DV frames.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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