HDR Display Mapping with Metadata Reconstruction for Low-Complexity Playback
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Solution Overview
Problem
Existing display technologies face challenges in efficiently mapping high dynamic range (HDR) images to target displays due to computational constraints and the need for multiple processing steps, which can increase power consumption and complexity.
Innovation Solution
A multi-step display management process is implemented, involving the generation of a base layer image and reconstructed metadata to facilitate a single mapping operation from the base layer to the target display, bypassing complex composer operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-step display mapping is implemented for HDR images, then mapping accuracy is improved, but processing complexity increases
Solution Approach 1:
The display mapping process is segmented into distinct stages: first mapping the HDR image to an intermediate dynamic range to generate a base layer, then mapping the base layer to the target display dynamic range. This segmentation allows complex HDR mapping to be broken down into manageable steps that can be processed efficiently.
Solution Approach 2:
The base layer image is generated in advance through the first mapping operation, preparing the data for the subsequent target display mapping. This preliminary action separates the complex HDR processing from the final display mapping, reducing the computational burden during actual playback.
2Measurement precision
If multi-step display mapping is implemented for HDR images, then mapping accuracy is improved, but power consumption increases
Solution Approach 1:
The processing workload is segmented across two mapping operations rather than one complex operation. The first mapping to intermediate dynamic range and the second mapping to target display dynamic range can be optimized independently, potentially reducing overall power consumption compared to a single complex mapping operation.
Solution Approach 2:
A base layer image is created as an intermediate copy of the HDR image at a reduced dynamic range. This base layer serves as a simplified representation that requires less computational power to process during the final mapping to the target display, reducing power consumption during playback.
3Productivity
If base layer image and reconstructed metadata are generated, then processing efficiency is improved, but device complexity increases
Solution Approach 1:
The processing pipeline is segmented into distinct functional blocks: an encoder that generates the base layer and reconstructed metadata, and a decoder that processes these components. This segmentation improves processing efficiency by allowing each block to be optimized for its specific function.
Solution Approach 2:
The base layer image and reconstructed metadata act as intermediaries between the original HDR image and the final displayed image. These intermediate representations carry essential information while reducing computational complexity, enabling efficient processing in the decoder.
Data Source
AI summary
Methods and systems for multi-step display mapping and metadata reconstruction for high dynamic range (HDR) images are described. In an encoder, given an HDR input image with input HDR metadata in a first dynamic range, an intermediate, base layer image in a second dynamic range is constructed based on the input image. In a decoder, using base-layer metadata, the input HDR metadata, and dynamic range characteristics of a target display, a processor generates reconstructed metadata which when used in combination with the base layer image allow a display mapping process to map the base layer image to the target display as if it was mapping directly the HDR image to the target display.