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Hiro (Hiroyuki Takeda) Ph.D. Candidate |
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I received the B.S. degree in electronics from Kinki University, Japan, and the M.S. degree in electrical engineering from the University of California, Santa Cruz (UCSC), in 2001 and 2006, respectively. I am currently pursuing the Ph.D. degree in electrical engineering at UCSC under the supervision of Prof Peyman Milanfar. My research interests are in image processing (motion estimation, interpolation, and super-resolution) and inverse problems.
The principal purpose on my research is to produce a superior quality image from an image or several images in low quality by software, instead of implementing expensive and high performance hardware. Nowadays, digital imaging systems are widely used; personal use digital camera, astronomical telescope, medical imaging systems (e.g. CT-Scan, MRI), and so on. Since images given by a CCD array sensor of the systems are often noisy, blurry, and aliased, the necessity of image processing to recover an unknown real scene is getting higher..
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Takeda, H., S. Farsiu, and P. Milanfar, "Kernel Regression for Image Processing and Reconstruction", IEEE Transactions on Image Processing, Vol. 16, No. 2, pp. 349-366, February 2007.
- Takeda, H., S.
farsiu, and P. Milanfar, "Deblurring
Using Regularized Locally-Adaptive Kernel Regression",
IEEE Transactions on Image Processing, Vol. 17, No. 4, pp. 550-563,
April 2008.
- Protter, M., M.
Elad, H. Takeda, and P. Milanfar, "Generalizing
the Non-Local-Means to Super-Resolution Reconstruction",
IEEE Transactions on Image Processing, Vol. 16, No. 2, pp. 36-51, January
2009.
- Takeda, H., P.
Milanfar, M. Protter, and M. Elad, "Superresolution
without Explicit Subpixel Motion Estimation", IEEE
Transactions on Image Processing, Vol. 18, No. 9, September 2009.
Conference Paper:
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Takeda, H., and P. Milanfar, "An Adaptive Nonparametric Approach to Restoration and Interpolation for Medical Imaging", Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, Boston, MA, June, 2009.
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Takeda, H., P van Beek, and P. Milanfar, "Spatio-Temporal Video Interpolation and Denoising Using Motion-Assisted Steering Kernel (MASK) Regression", Proceedings of IEEE International Conference on Image Processing (ICIP), San Diego, CA, October 2008.
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Takeda, H., HaeJong Seo, and P. Milanfar, "Statistical Approaches to Quality Assessment for Image Restoration", To Appear in the special session on "Advanced applications of objective video quality metrics and methods" International Conference on Consumer Electronics, Jan. 2008, Las Vegas, NV
- Seo, HaeJong.,,
P. Chatterjee, H. Takeda, and P. Milanfar, "A
Comparison of Some State of the Art Image Denoising Methods",
Proceedings of the 41st Asilomar Conference on Signals, Systems, and
Computers, 2007
- Takeda, H., S.
Farsiu, and P. Milanfar, "Higher
Order Bilateral Filters and Their Properties", Proceedings
of the SPIE Conf. on Computational Imaging, San Jose, January 2007."
- Takeda, H., S.
Farsiu, and P. Milanfar, "Regularized
Kernel Regression for Image Deblurring", Proceedings
of the 40th Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove, CA, November 2006.
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Takeda, H., S. Farsiu, and P. Milanfar, "Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data", Proceedings of the International Conference on Image Processing (ICIP), Atlanta, GA, October 2006.
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Takeda, H., S. Farsiu, J. Christou, P. Milanfar, "Super-Drizzle: Applications of Adaptive Kernel Regression in Astronomical Imaging", Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, September 2006.
- Takeda, H., S.
Farsiu, and P. Milanfar, "Image
Denoising by Adaptive Kernel Regression", Proceedings
of the 39th Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove, CA, November 2005.
Dissertation:
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Takeda, H., M.S. Thesis, "Kernel Regression for Image Processing and Reconstruction", Electrical Engineering, UC Santa Cruz, March 2006.