Image Processing Apparatus Color Gamut Scalability Prediction
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Solution Overview
Problem
Existing methods for color gamut scalability in video coding, such as those proposed in Non-Patent Literature 3, lead to an increase in encoding amount due to the encoding of adaptive prediction parameters, compromising prediction precision.
Innovation Solution
An image processing apparatus and method that decodes the difference in prediction parameters when predicting an image of a second layer with a different color gamut from a first layer, and encodes the difference, allowing for high prediction precision while controlling the encoding amount.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If adaptive parameter mode is used to encode gain and offset for each color component, then prediction precision is improved, but encoding amount increases
Solution Approach 1:
The patent changes the parameter representation from absolute values (gain and offset for each color component) to difference values relative to a previous value. This allows the encoder to transmit only the changes in parameters rather than complete parameter sets, reducing the encoding amount while maintaining prediction precision through adaptive parameter adjustment.
Solution Approach 2:
The patent encodes the difference from a previous value of the prediction parameter, establishing a reference point beforehand. This preliminary encoding of difference values allows the decoder to reconstruct the actual parameter values by accumulating differences, achieving high prediction precision without transmitting complete parameter information at each step.
2Quantity of substance
If bit shift mode or fixed parameter mode is used, then encoding amount is reduced, but prediction precision deteriorates
Solution Approach 1:
The patent introduces dynamic parameter adjustment by encoding differences from previous values, allowing the prediction parameters to adapt to changing image content. This dynamic approach combines the low encoding amount of fixed parameter modes with the adaptive precision of variable parameters, as the system adjusts parameters based on actual image characteristics while maintaining efficient compression.
Data Source
AI summary
Provided is an image processing apparatus including a decoding section configured to decode a difference from a previous value of a prediction parameter used when an image of a second layer having a different color gamut from a first layer is predicted from an image of the first layer, and a prediction section configured to predict the image of the second layer from the image of the first layer using the prediction parameter calculated using the difference decoded by the decoding section.