SZ DJI Technology has been granted a patent for an in-loop filtering method that optimizes chrominance components in image processing. The method involves selecting adaptive loop filtering (ALF) filters, calculating coefficients, and encoding the filtered chrominance, with a streamlined syntax element for filter count included in the adaptation parameter set. GlobalData’s report on SZ DJI Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on SZ DJI Technology, Precision imaging drones was a key innovation area identified from patents. SZ DJI Technology's grant share as of June 2024 was 38%. Grant share is based on the ratio of number of grants to total number of patents.
In-loop filtering method for chrominance component in images
The granted patent US12041231B2 outlines an innovative in-loop filtering method designed to enhance the processing of chrominance components in image blocks. The method involves selecting a target filter from a set of cross-component adaptive loop filtering (ALF) filters and determining the corresponding filter coefficients based on the chrominance component post-ALF and the luminance component without ALF. The chrominance component is then filtered using these coefficients, resulting in a filtered chrominance component that is subsequently encoded. Notably, the total number of cross-component ALF filters is encoded as a syntax element within the adaptation parameter set syntax of the image, rather than in the image or slice headers, which optimizes data management in the encoding process.
Additionally, the patent details the decoding process for the cross-component ALF filters, where the total number and index of the target filter are extracted from the bitstream. The method also specifies that the chrominance component after ALF may undergo sample adaptive offset (SAO) filtering before the ALF process. The encoding of both the total number of filters and the index of the target filter utilizes truncated binary codes, enhancing efficiency in data representation. This comprehensive approach to in-loop filtering and bitstream generation aims to improve image quality while maintaining effective data encoding strategies.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
