Recently several time-domain approaches relying on the generalized likelihood ratio test (GLRT) paradigm have been proposed for multiple antenna spectrum sensing in cognitive radi...
We propose a method for estimating radiometric response functions from observation of image noise variance, not profile of its distribution. The relationship between radiance inten...
Jun Takamatsu, Yasuyuki Matsushita, Katsushi Ikeuc...
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
We develop a novel time-selection strategy for iterative image restoration techniques: the stopping time is chosen so that the correlation of signal and noise in the filtered imag...
— In this paper, a novel approach is presented for designing multiplier-free state-space digital filters. The multiplier-free design is obtained by finding power-of-2 coeffici...
Tamal Bose, Zhongkai Zhang, O. Chauhan, Miloje S. ...
We propose a method for estimating demosaicing algorithms from image noise variance. We show that the noise variance in interpolated pixels becomes smaller than that of directly o...
Jun Takamatsu, Yasuyuki Matsushita, Tsukasa Ogasaw...
Quantization-based watermarking schemes are vulnerable to amplitude scaling. Therefore, the scaling factor needs to be estimated at the decoder side, such that the received (attac...
This paper proposes a hardware architecture of a video noise estimation algorithm capable of real-time processing. The objectives consist of adapting a computationally demanding n...
Scale-spaces induced by diffusion processes play an important role in many computer vision tasks. Automatically selecting the most appropriate scale for a particular problem is a ...