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Autor:
Takahiro Ogawa, Miki Haseyama
Publikováno v:
ICASSP
This paper presents a kernel PCA-based adaptive resolution enhancement method of still images. The proposed method introduces two novel approaches into the kernel PCA-based reconstruction of high-frequency components missed from a high-resolution (HR
Publikováno v:
ICASSP
ICASSP, Mar 2008, Las Vegas, NEVADA, United States
HAL
ICASSP, Mar 2008, Las Vegas, NEVADA, United States
HAL
International audience; We propose a new method to solve a problem of image restoration with many different aspects: reconstruction from irregular samples, deconvolution and denoising. The model we propose is robust to different kind of noises, in pa
Publikováno v:
ICASSP
Distributed coding of correlated grayscale stereo images is effectively addressed by a recently proposed codec that learns block-wise disparity at the decoder. Based on the Slepian-Wolf theorem, one image can be transmitted at a rate approaching the
Publikováno v:
ICASSP
This paper discusses the application of a computational image sensor, capable of performing separable 2-D transforms on images in the analog domain, to compressive sensing. Instead of sensing and transmitting raw pixel data, this image sensor first p
Autor:
Osama A. Omer, Toshihisa Tanaka
Publikováno v:
ICASSP
We address problems of conventional super-resolution (SR) methods having the following limitations. First, most of the existing SR algorithms can not cope with local motions and hence not suitable for video sequences. Second, the blurring operator is