Lookup table selection method and non-transitory computer readable storage medium

Abstract

A lookup table selection method is provided in the present disclosure. The lookup table selection method comprises: dividing a received image data into a training image data and a validation image data; performing, by an artificial intelligence model, a neural network training based on the training image data, so as to generate a plurality of lookup tables, wherein each of the plurality of lookup tables has a number of nodes, and the numbers of nodes of the plurality of lookup tables are different from each other; converting the validation image data into a plurality of converted validation image data based on the plurality of lookup tables; comparing the plurality of converted validation image data with the validation image data, so as to generate a plurality of conversion scores corresponding to the plurality of converted validation image data; and selecting one of the plurality of lookup tables as a selected lookup table according to the plurality of conversion scores and a plurality of memory scores respectively corresponding to the plurality of conversion scores.

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