Subpixel Motion Estimation for Super-Resolution Image Sequence Enhancement

Schultz, Richard R.; Li, Meng; Stevenson, Robert Louis

doi:10.1006/jvci.1997.0370

Cited by 73 publications

(47 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although some work has addressed the joint task of motion estimation and Super-Resolution (Hardie et al, 1997;Schultz et al, 1998;Tom and Katsaggelos, 2001), the problems related to this still remain largely open. Another open challenge is that of blind superresolution wherein the unknown parameters of the imaging system's PSF must be estimated from the measured data.…”

Section: Summary and Further Challengesmentioning

confidence: 99%

Advances and Challenges in Super-Resolution

Farsiu¹,

Robinson²,

Elad³

et al. 2004

141

View full text Add to dashboard Cite

Super-Resolution reconstruction produces one or a set of high-resolution images from a sequence of low-resolution frames. This article reviews a variety of Super-Resolution methods proposed in the last 20 years, and provides some insight into, and a summary of, our recent contributions to the general Super-Resolution problem. In the process, a detailed study of several very important aspects of Super-Resolution, often ignored in the literature, is presented. Specifically, we discuss robustness, treatment of color, and dynamic operation modes. Novel methods for addressing these issues are accompanied by experimental results on simulated and real data. Finally, some future challenges in Super-Resolution are outlined and discussed.

show abstract

Section: Summary and Further Challengesmentioning

confidence: 99%

Advances and Challenges in Super-Resolution

Farsiu¹,

Robinson²,

Elad³

et al. 2004

141

View full text Add to dashboard Cite

show abstract

“…Here, we apply subpixel motion estimation [14,23] to estimate between-frame motion. If the between-frame motion is represented primarily by translation and rotation (i.e., the affine model), then the Keren motion estimation method [14] provides a good performance.…”

Section: Motion Estimationmentioning

confidence: 99%

Super-Resolution Reconstruction by Image Fusion and Application to Surveillance Videos Captured by Small Unmanned Aircraft Systems

He¹,

Schultz²

2010

Sensor Fusion and Its Applications

View full text Add to dashboard Cite

“…To realize this potential, we have to register the frames by determining the relative motion vectors between the current frame and the reference frames. Accurate motion estimation of the video frames is pivotal to temporal color demosaicking and many applications such as video coding, superresolution imaging, and computer vision [5], [8], [12], [18]- [21].…”

Section: Motion Estimation and Re-samplingmentioning

confidence: 99%

Improvement of Color Video Demosaicking in Temporal Domain

Zhang

2006

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

Abstract-Color demosaicking is critical to the image quality of digital still and video cameras that use a single-sensor array. Limited by the mosaic sampling pattern of the color filter array (CFA), color artifacts may occur in a demosaicked image in areas of high-frequency and/or sharp color transition structures. However, a color digital video camera captures a sequence of mosaic images and the temporal dimension of the color signals provides a rich source of information about the scene via camera and object motions. This paper proposes an inter-frame demosaicking approach to take advantage of all three forms of pixel correlations: spatial, spectral, and temporal. By motion estimation and statistical data fusion between adjacent mosaic frames, the new approach can remove much of the color artifacts that survive intra-frame demosaicking and also improve tone reproduction accuracy. Empirical results show that the proposed inter-frame demosaicking approach consistently outperforms its intra-frame counterparts both in peak signal-to-noise measure and subjective visual quality.Index Terms-Bayer color filter array, data fusion, digital video, subpixel motion estimation, temporal color demosaicking.

show abstract

Subpixel Motion Estimation for Super-Resolution Image Sequence Enhancement

Cited by 73 publications

References 12 publications

Advances and Challenges in Super-Resolution

Advances and Challenges in Super-Resolution

Super-Resolution Reconstruction by Image Fusion and Application to Surveillance Videos Captured by Small Unmanned Aircraft Systems

Improvement of Color Video Demosaicking in Temporal Domain

Contact Info

Product

Resources

About