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