Multiframe spatial resolution enhancement of color video

Shah, N.; Zakhor, Avideh

doi:10.1109/icip.1996.559666

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…Several SR application areas may benefit from improved degradation modeling. Only recently has color SR reconstruction been addressed [16]. Improved motion estimates and reconstructions are possible by utilizing correlated information in color bands.…”

Section: Summary and Comparisonmentioning

confidence: 99%

A Survey on the methods of Super-resolution Image Reconstruction

Babu¹,

Murthy²

2011

IJCA

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Super-resolution (SR) image reconstruction is the process of combining several low resolution images into a single higher resolution image. There is a driving need for digital images of higher resolutions and quality. However, there is a limit to the spatial resolution that can be recorded by any digital device. Growing interest in super-resolution (SR) restoration of video sequences and the closely related problem of construction of SR still images from image sequences has led to the emergence of several competing SR reconstruction methodologies. In this paper, the principle of super-resolution image reconstruction and several state-of-the-art SR reconstruction methods were introduced. We critique these methods and at last, several aspects of super-resolution image reconstruction that should be studied further more were put forward.

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Section: Summary and Comparisonmentioning

confidence: 99%

A Survey on the methods of Super-resolution Image Reconstruction

Babu¹,

Murthy²

2011

IJCA

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“…The fundamental back-projection scheme remains identical to the previous one, which is not very flexible in terms of incorporating a priori constraints on the solution area. Shah and Zakhor [59] use a reconstruction method similar to that of Irani and Peleg. They also propose a novel approach to motion estimation that considers a set of possible motion vectors for Figure 2.…”

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confidence: 99%

Motion block based video super resolution

Izadpanahi

Demirel

2013

Digital Signal Processing

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A multi-frame super resolution process can be used for enhancing the resolution of video frames by employing the information of consecutive low-resolution frames taken from almost the same scene. Most of these super resolution algorithms are only suitable for global motion model. Nevertheless, if a local motion pattern such as movements of some objects happens between the low resolution frames a global motion model cannot provide efficient performance. Considering this problem, we propose a novel super resolution framework, where the moving and static regions in video frames are processed separately. Occlusion is another issue, which is not considered in most of the video super resolution processes. This problem occurs when a new object appears or an object disappears in the video frames. The proposed motionblock based super resolution method not only offers a local motion model but also deals with the occluded areas in a proper way.This thesis presents a new video super resolution technique, based on the motion and static areas of the low resolution video frames. In order to separate the motion and static blocks, a block motion estimation method is employed between a reference and its neighbouring frames. Among the motion blocks, the occluded blocks are identified using an adaptive threshold applied on each block individually. Structure-adaptive normalized convolution (SANC) reconstruction method is used to generate the high resolution static and motion blocks where discrete wavelet transform (DWT) based interpolation is used to produce the high resolution occluded blocks. The static and motion blocks are combined into a high resolution frame.

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Bi-directional 2-D mesh representation for video object rendering, editing and superresolution in the presence of occlusion

Eren

Tekalp

2003

Signal Processing: Image Communication

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Multiframe spatial resolution enhancement of color video

Cited by 9 publications

References 5 publications

A Survey on the methods of Super-resolution Image Reconstruction

A Survey on the methods of Super-resolution Image Reconstruction

Motion block based video super resolution

Bi-directional 2-D mesh representation for video object rendering, editing and superresolution in the presence of occlusion

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