| Title | Region Adaptive Demosaicing |
| Author | Chang Won Kim, *Joonyoung Chang, Moon Gi Kang (Yonsei University, Republic of Korea) |
| Page | pp. 761 - 764 |
| Keyword | demosaicing, color interpolation, Bayer pattern, color filter array |
| Abstract | The problem of recovering full-color images from color-sampled observation is considered in this paper. In order to avoid artifacts in high frequency regions and improve the performance, region is classified into flat, edge and pattern region, and edge indicator function is used. The horizontal and vertical direction of edge is decided using local statistics based on the concepts of spectral-spatial correlation. As a postprocessing, the modified filtering on color difference domain is adopted to improve the quality of the image. Experimental results illustrate the benefits of the proposed method. When compared to the conventional methods, the proposed method outperforms them on quantitative and qualitative criteria. |
| Title | Robust Image Watermarking Method Using Discrete Cosine Decomposition and Just Noticeable Distortion |
| Author | *Hyeon-Uk Seo, Jae-Sik Sohn, Byoung-Ik Kim, Tae-Gyoun Lee (School of Electrical Engineering and Computer Science, Kyungpook National University, Republic of Korea), Seung-Ik Lee (Dept. of Digital Imformation Electronics Yonam Institute of digital Technology, Republic of Korea), Duk-Gyoo Kim (School of Electrical Engineering and Computer Science, Kyungpook National University, Republic of Korea) |
| Page | pp. 765 - 768 |
| Keyword | HVS model, JND, DCT |
| Abstract | We propose a robust image watermarking algorithm using the just noticeable distortion (JND) and discrete cosine transform (DCT). In DCT, the baseband of the discrete decomposed image has the most energy of the host image, so it has crucial effect on the image quality. The conventional algorithms don't utilize the characteristics of the DC coefficients which will participate in the watermark embedding. To reduce the drawbacks of the conventional algorithms, the proposed algorithm uses the DC coefficients in the watermark embedding step unlike the conventional algorithms. To improve the imperceptibility of watermarking system, we use JND value as a embedding strength. The results of simulation show that the proposed algorithm is robust to JPEG compression. |
| Title | Noise Reduction and Signal Enhancement in IVR Images by ICA Shrinkage Filters and Multiscale Filters |
| Author | *Kiyotaka Matsuo, Xianhua Han (Ritsumeikan University, Japan), Koichi Shibata, Yukio Mishina, Yoshihiro Mukuta (Shimadzu Corporation, Japan), Yen-Wei Chen (Ritsumeikan University, Japan) |
| Page | pp. 769 - 772 |
| Keyword | filter, noise reduction, enhancement, image processing |
| Abstract | Interventional Radiology (IVR) is an important technique to visualize and diagnosis the vascular disease. In real medical application, a weak x-ray radiation source is used for imaging in order to reduce the radiation dose, resulting in a low contrast noisy image. It is important to develop a method to smooth out the noise while enhance the vascular structure. In this paper, we propose a new method using ICA shrinkage filter for noise reduction and a multiscale filter for enhancement of vascular structure. |