AI ENCODING DEVICE, METHOD FOR OPERATING SAME, AI DECODING DEVICE, AND METHOD FOR OPERATING SAME

摘要

Various embodiments may provide an AI encoding device and a method for operating the same capable of minimizing conversion error in performing low-precision expression of intermediate result values generated in a first DNN included in the AI encoding device. Disclosed is an image decoding device including a memory storing one or more instructions and a processor executing the one or more instructions stored in the memory. In the processor, the AI encoding device uses the first DNN to acquire image data corresponding to a first image AI-downscaled from an original image, restores a second image corresponding to the first image based on the image data, acquires first result values based on a result of calculation with a first filter kernel and the second image from a first layer including the first filter kernel and a second filter kernel among a plurality of layers when the second image is input to a second DNN including the plurality of layers, acquires second result values based on a result of calculation with the second filter kernel and the second image, normalizes the first result values by conversion into first values based on a first scale factor, normalizes the second result values by conversion into second values based on a second scale factor, converts the normalized values into integer values included in a preset range, acquires third result values from a second layer by inputting the converted integer values to the second layer as the layer next to the first layer among the plurality of layers, and acquires a third image AI-upscaled from the second image based on the third result values. The second DNN corresponds to the first DNN and the first and second scale factors are determined as values related to the scale factors included in the first DNN.;COPYRIGHT KIPO 2020