Super resolution reconstruction based on total variation regularization

Baikun Wan, Hongmei Zeng, Weibo Yi, Lan Ma, Rui Xu, Xiang Zheng, Yanru Bai, Hongzhi Qi, Dong Ming, Weijie Wang

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

    2 Citations (Scopus)

    Abstract

    Super resolution reconstruction is an important branch of image processing that extracting high resolution images containing more details from an image sequence of low resolution, by image processing such as motion estimation, de-blurring and de-noising. Currently super resolution is an economical and practical algorithm that can be used to improve image resolution in remote monitoring, remote sensing and medical imaging. In this thesis, in order to obtain high resolution image from an image sequence of low resolution and improve the image quality, visual effects, total variation algorithm is used to estimate the motion of low resolution images caused by the restriction of environmental conditions and the physical limitations of imaging equipment. This algorithm contains a lot of processing technologies, such as, motion estimate, motion compensation, image fusion, de-nosing. Experiment result shows that the entropy of the high resolution image was improved and the D and Dindex are improved with the increasing of frames, so clearly high resolution image can be obtained from source image by using this algorithm. The super resolution algorithm mentioned in the thesis with high practical application value, can be applied to long-range remote sensing and face image restoration.
    Original languageEnglish
    Title of host publication2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
    Place of PublicationPiscataway
    PublisherIEEE Computer Society
    Pages1194-1199
    Number of pages6
    ISBN (Electronic)9781424493173
    ISBN (Print)9781424493180, 9781424493197
    DOIs
    Publication statusPublished - 2010

    Keywords

    • De-noising
    • De-nosing
    • Deblurring
    • Environmental conditions
    • Face images
    • High resolution image
    • Image sequence
    • Imaging equipment
    • Low resolution
    • Low resolution images
    • Motion estimates
    • Physical limitations
    • Practical algorithms
    • Processing technologies
    • Remote monitoring
    • Source images
    • Super resolution
    • Super resolution algorithms
    • Super resolution reconstruction
    • Total variation
    • Total variation regularization
    • Visual effects

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