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公开(公告)号:US20250005799A1
公开(公告)日:2025-01-02
申请号:US18346097
申请日:2023-06-30
Applicant: QUALCOMM Incorporated
Inventor: Cheng-Teh HSIEH , Venkata Meher Satchit Anand KOTRA , Hyung Joon KIM , Wei-Jung CHIEN
Abstract: Aspects presented herein relate to methods and devices for data processing including an apparatus, e.g., a CPU. The apparatus may obtain an indication of a set of data subunits corresponding to at least one data unit. The apparatus may also arrange data for the set of data subunits into a first data order for the set of data subunits. Further, the apparatus may perform at least one of an encoding process or a decoding process on the data for each data subunit of the set of data subunits. The apparatus may also rearrange the data for the set of data subunits into the first data order for a first data subunit in the set of data subunits and into a second data order for at least one second data subunit in the set of data subunits, where the first data order is different from the second data order.
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公开(公告)号:US20240205433A1
公开(公告)日:2024-06-20
申请号:US18066087
申请日:2022-12-14
Applicant: QUALCOMM Incorporated
Inventor: Hyung Joon KIM , Wei-Jung CHIEN , Cheng-Teh HSIEH , Marta KARCZEWICZ , Natan JACOBSON , Tao WANG , Clara Ka Wah SUNG , Andrew Edmund TURNER
IPC: H04N19/34 , H04N19/124 , H04N19/60
CPC classification number: H04N19/34 , H04N19/124 , H04N19/60
Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for truncation error signaling and adaptive dither for lossy bandwidth compression. A processor may perform a truncation process for data, where the data is associated with display processing, image processing, or the data processing, where the truncation process for the data results in truncated data. The processor may compute a set of truncation error values associated with the truncation process for the truncated data. The processor may generate a set of residual samples for the truncated data. The processor may generate a bitstream based on the set of residual samples for the truncated data and the set of truncation error values associated with the truncation process.
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