Super-resolution algorithms based on atomic wavelet functions in real-time processing of video sequences

Francisco Gomeztagle-Sepulveda; Victor Kravchenko; Volodymyr I. Ponomaryov

doi:10.1117/12.853762

4 May 2010 Super-resolution algorithms based on atomic wavelet functions in real-time processing of video sequences

Francisco Gomeztagle-Sepulveda, Victor Kravchenko, Volodymyr I. Ponomaryov

Proceedings Volume 7724, Real-Time Image and Video Processing 2010; 772403 (2010) https://doi.org/10.1117/12.853762
Event: SPIE Photonics Europe, 2010, Brussels, Belgium

Abstract

In the real world, there are a variety of applications of high resolution (HR) images in remote sensing, video frame freezing, medicine, robot artificial viewing, military information acquisition, etc. Because of the high cost and physical limitations of the acquisition hardware, the low-resolution (LR) images are used frequently. So, super-resolution (SR) restoration is an emerged solution permitting to form one or a set of HR images from a sequence of LR images. The proposed SR framework takes into account the spatial and spectral WT pixel information reconstructing different video and texture nature, presenting good performance in terms of objective (PSNR, MAE, NCD) criteria and visual subjective perception, employing the Wavelets based on atomic functions (WAF). Statistical simulations have demonstrated the effectiveness of the novel approach. The real time digital processing has been implemented on DSP of Texas Instruments TMS320DM642, demonstrating the effectiveness of the reconstruction of SR images in real time processing mode, and justifying this in the video sequences of different nature, pixel resolution and motion behavior.

Citation Download Citation

Francisco Gomeztagle-Sepulveda, Victor Kravchenko, and Volodymyr I. Ponomaryov "Super-resolution algorithms based on atomic wavelet functions in real-time processing of video sequences", Proc. SPIE 7724, Real-Time Image and Video Processing 2010, 772403 (4 May 2010); https://doi.org/10.1117/12.853762

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KEYWORDS

Video

Digital signal processing

Reconstruction algorithms

Wavelets

Lawrencium

Atrial fibrillation

Visualization

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