In this paper we present a method for interpolating images that also preserves sharp edge information. We concentrate on tackling blurred edges by mapping level curves of the image. Level curves or isophotes are spatial curves with constant intensity. The mapping of these intensities can be seen as a local contrast enhancement problem, therefore we can use contrast enhancement techniques coupled with additional constraints for the interpolation problem. A great advantage of this approach is that the shape of the level set contours is preserved and no explicit edge detection is needed here. Results show an improvement in visual quality: edges are sharper and ringing effects are removed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Image interpolation using constrained adaptive contrast enhancement techniques


    Contributors:


    Publication date :

    2005-01-01


    Size :

    167294 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Image Interpolation using Constrained Adaptive Contrast Enhancement Techniques

    Luong, H. Q. / De Smet, P. / Philips, W. | British Library Conference Proceedings | 2005


    Adaptive contrast enhancement based on highly overlapped interpolation

    Wu, Z. Q. / Ware, J. A. / Jiang, J. | British Library Online Contents | 2005


    Image Contrast Enhancement by Constrained Local Histogram Equalization

    Zhu, H. / Chan, F. H. Y. / Lam, F. K. | British Library Online Contents | 1999


    Improvising Non-uniform Illumination and Low Contrast Images of Soil Transmitted Helminths Image Using Contrast Enhancement Techniques

    Khaimdin, Norhanis Ayunie Ahmad / Abdul Nasir, Aimi Salihah / Chin, Lim Chee et al. | British Library Conference Proceedings | 2020


    Adaptive Image Interpolation using Coupled Bidirectional Flow

    Fu, S. | British Library Conference Proceedings | 2005