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  • Research Article
  • Open Access

Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid

EURASIP Journal on Advances in Signal Processing20062006:072520

  • Received: 30 November 2004
  • Accepted: 7 April 2005
  • Published:


According to recent advances in digital image processing techniques, interest in high-quality images has been increased. This paper presents a resolution enhancement (RE) algorithm based on the pyramid structure, in which Laplacian histogram matching is utilized for high-frequency image prediction. The conventional RE algorithms yield blurring near-edge boundaries, degrading image details. In order to overcome this drawback, we estimate an HF image that is needed for RE by utilizing the characteristics of the Laplacian images, in which the normalized histogram of the Laplacian image is fitted to the Laplacian probability density function (pdf), and the parameter of the Laplacian pdf is estimated based on the Laplacian image pyramid. Also, we employ a control function to remove overshoot artifacts in reconstructed images. Experiments with several test images show the effectiveness of the proposed algorithm.


  • Pyramid
  • Probability Density Function
  • Digital Image Processing
  • Image Processing Technique
  • Pyramid Structure

Authors’ Affiliations

Department of Electronic Engineering, School of Engineering, Sogang University, C.P.O. Box 1142, Seoul, 100-611, Korea
Digital Media Research and Development Center, Samsung Electronics Corporation, Ltd, Suwon, 442-742, Korea


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© Jeon et al. 2006