Simplified Digital Still Image Compression Using Histograms of Wavelet Expansion Coefficients and Subjective Fidelity Estimation between Similar Reconstructed Images

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概要

• 論文の詳細を見る

• The main aim of wavelet transforms is to provide an intuitive and visual representation of digital signals or image data from the view-point of time-frequency or space-scale relation, respectively. A united square matrix for the two dimensional discrete wavelet transform (2D-DWT) is composed of a recurrent combination of spatial low-pass and high-pass filter coefficients, i.e., Daubechies filter coefficients for the scaling function and wavelet. A pair of forward and inverse DWT may be recursively performed by the united square matrix and orthogonal matrix operation techniques. In this paper, simplified digital still image compression techniques are discussed together with the histograms of wavelet expansion coefficients at the specified resolution level. The display results of a difference image : original image-reconstructed image in monochrome and quasi-color compared with a measure of the image fidelity such as RMSE and/or RSNR from the viewpoint of a subjective appearance of reconstructed images.

• 社団法人照明学会の論文

著者

• Iizuka M.

  Tokyo Institute of Polytechnics

• Nakashima Y.

  Toyama University

• Iizuka M.

  Tokyo Institute Of Polytechnics Faculty Of Engineering

• KITAMURA M.

  Tokyo Institute of Polytechnics, Faculty of Engineering

関連論文

• Fabrication of Optical Fourier Transform Hologram Using Blue White He-Cd Laser and Visual Appearance of Reconstructed Color Images
• Simplified Digital Still Image Compression Using Histograms of Wavelet Expansion Coefficients and Subjective Fidelity Estimation between Similar Reconstructed Images

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