On efficient Viterbi decoding for hidden semi-Markov models
Ritendra Datta, Jianying Hu, et al.
ICPR 2008
We discuss the limit of the depth-of-field (DOF) extension for an imaging system using aspheric surfaces. In particular we consider an imaging system with an arbitrary pupil function and present the rigorous tradeoff between the DOF of the system and the spectral signal-to-noise ratio (SNR) over an extended DOF, to our knowledge for the first time. In doing so we use the relation between the conservation of ambiguity and modulation-transfer function (MTF) on one hand and the relation between the spectral SNR and MTF on the other. Using this, we rigorously derive the expression for an upper bound for the minimum spectral SNR, i.e., the limit of spectral SNR improvement. This leads to the introduction of our spectral SNR conservation principle. We also draw the relation between our result and the conservation of brightness theorem and establish that our result is the spectral version of the brightness conservation theorem. © 2009 Optical Society of America.
Ritendra Datta, Jianying Hu, et al.
ICPR 2008
Saeed Bagheri, Zahra Kavehvash, et al.
IEEE/OSA Journal of Display Technology
W.D. Little, R. Williams
SIGGRAPH 1976
Sudeep Sarkar, Kim L. Boyer
Computer Vision and Image Understanding