Image Up-Sampling Using Discrete Wavelet Transform
- Ping-Sing Tsai 0, Tinku Acharya
- Corresponding Author
- Ping-Sing Tsai
0Dept. of Computer Science,University of Texas - Pan American
Available Online undefined NaN.
- https://doi.org/10.2991/jcis.2006.340How to use a DOI?
- DWT, up-sampling, interpolation
- Image up-sampling is found to be a very effective technique useful in today’s digital image processing applications or rendering devices. In image up-sampling, an image is enhanced from a lower resolution to a higher resolution with the degree of enhancement depending upon application requirements. It is known that the traditional interpolation based approaches for up-sampling, such as Bilinear or Bicubic interpolation, blur the resultant images [1, 2]. Furthermore; in color imagery, these interpolation based up-sampling methods may have color infringing artifacts in the areas where the images contain sharp edges and fine textures. In this paper, we present an interesting up-sampling algorithm using 9/7 bi-orthogonal Spline filters based Discrete Wavelet Transform (DWT). The proposed method preserves much of the sharp edge features in the image, and lessens the amount of color artifacts. Effectiveness of the proposed algorithm has been demonstrated based on evaluation of PSNR and CIELAB quality metrics of the original image and the reconstructed image.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ping-Sing Tsai AU - Tinku Acharya PY - NaN/NaN DA - NaN/NaN TI - Image Up-Sampling Using Discrete Wavelet Transform BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press UR - https://doi.org/10.2991/jcis.2006.340 DO - https://doi.org/10.2991/jcis.2006.340 ID - TsaiNaN/NaN ER -