Composite Image Encoding with Metadata for Multiple Rendering Intents
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image processing technologies lose fidelity due to non-linear clipping and quantization, unknown algorithms, and unknown operation orders, making it difficult to transmit the original captured image and apply aesthetic adjustments at playback while allowing multiple rendering intents.
Innovation Solution
Encode metadata alongside the image to transmit original captured image adjustments, allowing playback devices to invert or apply adjustments for multiple rendering intents, including white point corrections, optical-optical transfer functions, and aesthetic enhancements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If non-linear clipping and quantization are applied during image processing, then device complexity is reduced, but image fidelity is lost
Solution Approach 1:
The patent applies rendering intents and adjustments during the image capture and encoding phase rather than during playback. By pre-processing the image with white point corrections, OOTFs, and aesthetic enhancements, and encoding the original adjustments in metadata, the system avoids complex real-time processing at playback while preserving image fidelity through lossless or reversible operations.
2Adaptability or versatility
If multiple rendering intents are supported, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent encodes multiple rendering intents and adjustment parameters in metadata during the encoding phase. This allows playback devices to select and apply different rendering intents (such as scene-referred, display-referred, or aesthetic enhancements) without requiring complex real-time processing capabilities. The metadata contains all necessary adjustment information that can be applied or inverted as needed.
Solution Approach 2:
The patent creates a copy of the original captured image adjustments and stores them in metadata alongside the processed image. This metadata copy contains the original white point, OOTF, and aesthetic adjustments, allowing playback devices to reconstruct the original image or apply different rendering intents without needing to perform complex transformations.
3Loss of information
If original captured image adjustments are transmitted, then image fidelity is improved, but data transmission volume increases
Solution Approach 1:
The patent extracts only the essential adjustment parameters (white point corrections, OOTF parameters, aesthetic adjustments) from the original captured image and encodes them in metadata. Rather than transmitting the entire original image or all processing details, only the key adjustment parameters are stored and transmitted, significantly reducing data volume while preserving the ability to reconstruct the original image or apply different rendering intents.
Data Source
AI summary
Techniques for multiple-intent composite image encoding and rendering are disclosed. The techniques can include obtaining a set of constituent images for a composite image, determining a common rendering intent to be applied to the set of constituent images, adjusting one or more of the set of constituent images according to the common rendering intent, resulting in an adjusted set of constituent images, creating the composite image based on the adjusted set of constituent images, generating metadata characterizing the common rendering intent, and encoding the composite image and the metadata to create an encoded multiple-intent composite image.