HDR Image Transcoding with Dual-Layer Metadata Conversion
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Solution Overview
Problem
Current HDR transcoding schemes cause exceptions in transcoded HDR images or videos, affecting user experience due to the loss of HDR information during direct transcoding, which is not adequately supported by existing delivery and transcoding systems.
Innovation Solution
An innovative dual-layer encoding and decoding method that processes HDR images by converting base-layer and enhancement-layer data based on metadata, enhancing flexibility and adaptability to display devices, including color space and gamut conversions, to improve restoration quality and encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If direct transcoding of HDR images is used, then transcoding process is simple, but HDR information is lost and exceptions occur in transcoded images
Solution Approach 1:
The patent segments the HDR image into base-layer data and enhancement-layer data, allowing independent processing and conversion of each layer. This segmentation enables flexible handling of HDR information during transcoding, preventing data loss while maintaining processability. The base-layer contains essential HDR information while the enhancement-layer provides additional details, and both can be processed according to target display capabilities.
Solution Approach 2:
The patent applies parameter changes by converting the base-layer and enhancement-layer data according to metadata parameters that describe target display device characteristics. Conversion parameters such as color space transformation matrices and tone mapping curves are adjusted based on the specific display device, enabling adaptive HDR transcoding that preserves information while adapting to different display capabilities.
2Manufacturing precision
If dual-layer encoding with conversion is applied, then restoration quality and adaptability improve, but processing complexity increases
Solution Approach 1:
The patent performs preliminary action by extracting base-layer and enhancement-layer data from the HDR image before transcoding, and by preparing conversion parameters based on metadata in advance. This preliminary processing organizes the complex conversion task into manageable steps: first separating the layers, then determining conversion parameters, and finally applying conversions systematically, which reduces overall processing complexity.
Solution Approach 2:
The patent uses metadata as an intermediary that carries conversion parameters and device information between the HDR image and the target display device. This intermediary enables the system to adapt to different display devices without requiring direct complex interactions, simplifying the transcoding process while maintaining high restoration quality through accurate parameter transmission.
Data Source
AI summary
This disclosure provides an image processing method and a related device. The method includes: obtaining first base-layer data, first enhancement-layer data, and first metadata, where the first base-layer data is base-layer data corresponding to a first HDR image, and the first enhancement-layer data is enhancement-layer data corresponding to the first HDR image; performing conversion on target data according to the first metadata, to obtain target conversion data, where the target data is the first base-layer data and/or the first enhancement-layer data; and determining a second HDR image based on the target conversion data. Based on the foregoing technical solution, a more efficient and proper encoding scheme can be selected for the base-layer data and/or the enhancement-layer data, so that the finally synthesized HDR image has a higher restoration degree and is more adaptive to a display device.