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

Open Access
Research Article
Part of the following topical collections:
  1. Super-Resolution Imaging: Analysis, Algorithms, and Applications

Abstract

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.

Keywords

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

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Copyright information

© Jeon et al. 2006

Authors and Affiliations

  1. 1.Department of Electronic Engineering, School of EngineeringSogang UniversitySeoulKorea
  2. 2.Digital Media Research and Development CenterSamsung Electronics Corporation, LtdSuwonKorea

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