Abstract
A method and an apparatus are disclosed for video coding using an improved in-loop filter. The video coding method and the apparatus generate a residual frame from a reconstructed frame using a deep learning model. The video coding method and the apparatus improve performance of an in-loop filter by approximating an original residual frame by applying the generated residual frame to a linear model.
Full Text
What is claimed is:
A method and an apparatus are disclosed for video coding using an improved in-loop filter. The video coding method and the apparatus generate a residual frame from a reconstructed frame using a deep learning model. The video coding method and the apparatus improve performance of an in-loop filter by approximating an original residual frame by applying the generated residual frame to a linear model.
Timeline
Filed
02/20/2026Published
06/25/2026Granted
Not AvailableIPC Codes(3)
H04N 19/154:Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion (use of rate-distortion criteria H04N 19/147)
H04N 19/172:the region being a picture, frame or field
H04N 19/46:Embedding additional information in the video signal during the compression process (, take precedence H04N 19/517, H04N 19/68, H04N 19/70)