A practical approach to superresolution

Sina Farsiu; Michael Elad; Peyman Milanfar

doi:10.1117/12.644391

19 January 2006 A practical approach to superresolution

Sina Farsiu, Michael Elad, Peyman Milanfar

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 607703 (2006) https://doi.org/10.1117/12.644391
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Theoretical and practical limitations usually constrain the achievable resolution of any imaging device. Super-Resolution (SR) methods are developed through the years to go beyond this limit by acquiring and fusing several low-resolution (LR) images of the same scene, producing a high-resolution (HR) image. The early works on SR, although occasionally mathematically optimal for particular models of data and noise, produced poor results when applied to real images. In this paper, we discuss two of the main issues related to designing a practical SR system, namely reconstruction accuracy and computational efficiency. Reconstruction accuracy refers to the problem of designing a robust SR method applicable to images from different imaging systems. We study a general framework for optimal reconstruction of images from grayscale, color, or color filtered (CFA) cameras. The performance of our proposed method is boosted by using powerful priors and is robust to both measurement (e.g. CCD read out noise) and system noise (e.g. motion estimation error). Noting that the motion estimation is often considered a bottleneck in terms of SR performance, we introduce the concept of "constrained motions" for enhancing the quality of super-resolved images. We show that using such constraints will enhance the quality of the motion estimation and therefore results in more accurate reconstruction of the HR images. We also justify some practical assumptions that greatly reduce the computational complexity and memory requirements of the proposed methods. We use efficient approximation of the Kalman Filter (KF) and adopt a dynamic point of view to the SR problem. Novel methods for addressing these issues are accompanied by experimental results on real data.

Citation Download Citation

Sina Farsiu, Michael Elad, and Peyman Milanfar "A practical approach to superresolution", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 607703 (19 January 2006); https://doi.org/10.1117/12.644391

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