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

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 re...

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Vydáno v:IEEE access Ročník 10; s. 41921 - 41937
Hlavní autoři: Alshammri, Ghalib H., Samha, Amani K., El-Shafai, Walid, Elsheikh, Emad A., Hamid, Ebrahim Abdel, Abdo, Mohamed I., Amoon, Mohammed, El-Samie, Fathi E. Abd
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
3DV SR
Algorithms
Bayes methods
Bayesian analysis
bicubic interpolation
Blurring
histogram matching
Histograms
image quality enhancement
Image reconstruction
Interpolation
Matching
Multimedia
recursive Bayesian algorithm
Signal to noise ratio
Spatial resolution
Streaming media
Superresolution
Visualization
ISSN:2169-3536, 2169-3536
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Popis
Shrnutí: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.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3153409