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A new texture generation method based on pseudo-DCT coefficients.

Hongliang Li1, Guizhong Liu, Zhongwei Zhang

  • 1School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China. hlli@mailst.xjtu.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 5, 2006
PubMed
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This study introduces a novel method for creating texture images from 1-D signals using Fourier and discrete cosine transforms (DCT). The technique efficiently generates diverse stochastic and structural textures, demonstrating strong performance.

Area of Science:

  • Computer Vision
  • Image Processing
  • Signal Processing

Background:

  • Traditional texture generation methods often rely on sample textures as input.
  • Generating realistic and diverse textures remains a challenge in computer graphics and image processing.

Purpose of the Study:

  • To present a new, efficient method for synthesizing 2-D texture images from 1-D signals.
  • To explore an alternative approach to texture generation that does not require sample textures.

Main Methods:

  • The proposed method transforms a 1-D signal into the frequency domain using Fast Fourier Transform (FFT).
  • It then constructs 2-D pseudo-Discrete Cosine Transform (DCT) coefficients by rearranging Fourier coefficients.
  • A 2-D inverse DCT algorithm generates the final texture image.

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Main Results:

  • The method successfully generated various stochastic textures (e.g., cloud, illumination, sand) and structural textures.
  • Experimental results validated the effectiveness and good performance of the proposed texture synthesis technique.

Conclusions:

  • The presented 1-D signal to 2-D image transform offers a viable and effective approach for texture generation.
  • This method provides a novel way to create diverse textures computationally.