Invention Grant
- Patent Title: Deep quality enhancement of adaptive downscaled coding for image compression
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Application No.: US16100310Application Date: 2018-08-10
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Publication No.: US10764588B2Publication Date: 2020-09-01
- Inventor: Xiang Fu , Linfeng Guo , Haiyan He , Wei Li , Xu Gang Zhao , Hao Pan , Xiaohua Yang , Krishnakanth Rapaka , Munehiro Nakazato , Haitao Guo
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: APPLE INC.
- Current Assignee: APPLE INC.
- Current Assignee Address: US CA Cupertino
- Agency: BakerHostetler
- Main IPC: H04N19/176
- IPC: H04N19/176 ; H04N19/126 ; G06T7/13 ; G06N3/08

Abstract:
Techniques are disclosed for coding image data adaptively at different levels of downscaling. Such techniques may involve partitioning input data into pixel blocks for coding and performing content analysis on the pixel blocks. The pixel blocks may be input to block coders that operate at different pixel block sizes, which may code the pixel blocks input to them at their respective sizes. Except when a block coder operates at the partitioning size, block coders that operate at different pixel block sizes may perform downscaling of the pixel blocks to match their size with the block coders' respective coding size. A block decoder may invert the coding operations performed by the block coders, decoding coded image data at respective pixel block sizes, then upscaling decoded image data obtained therefrom to a common pixel block size. Image reconstruction may synthesize a resultant image from the decode pixel block data output by the decoders. Quality enhancements may be added by neural network processing systems that have been trained to other segmented images.
Public/Granted literature
- US20200053362A1 Deep Quality Enhancement of Adaptive Downscaled Coding for Image Compression Public/Granted day:2020-02-13
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