Patent ID: 11909975
Assignee: TENCENT AMERICA LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 0:
1. A method of end-to-end neural image compression using dependent scalar quantization with substitution, the method being executed by one or more processors, and the method comprising:
receiving an input image;
determining a substitute image based on the input image using a neural network based substitute feature generator;
compressing the substitute image;
quantizing the compressed substitute image to obtain a quantized representation of the input image with higher compression performance by using a first dependent scalar quantizer; and
entropy encoding the substitute image using a neural network based encoder to generate a compressed representation of the quantized representation,
wherein a compression quality loss associated with the compressed substitute image is less than a compression quality loss associated with a compressed input image, and
wherein one or more neural network models used in the method may be jointly optimized to minimize an overall rate-distortion loss.