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- W3080411669 abstract "We study the problem of image registration in the finite-resolution regime and characterize the error probability of algorithms as a function of properties of the transformation and the image capture noise. Specifically, we define a channel-aware Feinstein decoder to obtain upper bounds on the minimum achievable error probability under finite resolution. We specifically focus on the higher-order terms and use Berry-Esseen type CLTs to obtain a stronger characterization of the achievability condition for the problem. Then, we derive a strong type-counting result to characterize the performance of the MMI decoder in terms of the maximum likelihood decoder, in a simplified setting of the problem. We then describe how this analysis, when related to the results from the channel-aware context provide stronger characterization of the finite-sample performance of universal image registration." @default.
- W3080411669 created "2020-09-01" @default.
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- W3080411669 date "2020-06-01" @default.
- W3080411669 modified "2023-09-27" @default.
- W3080411669 title "Registration of Finite Resolution Images: a Second-order Analysis" @default.
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- W3080411669 doi "https://doi.org/10.1109/isit44484.2020.9174518" @default.
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