Title :
Prediction of image detail
Author :
Muresan, D. Darian ; Parks, Thomas W.
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
In the problem of image interpolation, most of the difficulties arise in areas around edges and sharp changes. Around edges, many interpolation methods tend to smooth and blur image detail. Fortunately, most of the signal information is often carried around edges and areas of sharp changes and can be used to predict these missing details from a sampled image. A method for adding image detail based on the cone of influence, the evolution of the wavelet coefficients across scales, is presented.
Keywords :
filtering theory; image sampling; interpolation; low-pass filters; prediction theory; wavelet transforms; edges; image blurring; image detail prediction; image detail smoothing; image interpolation; influence cone; low pass filter; optimal recovery; sampled image; sharp changes; signal information; wavelet coefficients; Discrete wavelet transforms; Frequency domain analysis; Hidden Markov models; Image generation; Interpolation; Microscopy; Noise reduction; Predictive models; Wavelet coefficients; Wavelet domain;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899374
