Image Coding Adaptive Bit-Depth for IPCM Efficiency
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Solution Overview
Problem
Intra Pulse Code Modulation (IPCM) blocks in image coding hinder coding efficiency due to their uncompressed data amount, which increases with higher bit-depth, leading to inefficiencies.
Innovation Solution
An adaptive bit-depth approach is implemented by writing separate bit-depth parameters for IPCM and reconstructed samples in the coded stream, allowing for independent bit-depth settings and reducing redundant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If IPCM blocks are coded as uncompressed data, then image quality is preserved, but data amount increases and coding efficiency deteriorates
Solution Approach 1:
The patent applies parameter changes by introducing separate bit-depth parameters for IPCM samples and reconstructed samples. This allows the system to optimize the bit-depth of IPCM data independently from the final reconstructed image quality, enabling more efficient compression while maintaining necessary image quality through selective bit-depth allocation.
2Manufacturing precision
If bit-depth for IPCM samples is increased, then image quality is improved, but data amount increases and coding efficiency deteriorates
Solution Approach 1:
The patent enables independent control of bit-depth parameters, allowing the system to set the bit-depth for IPCM samples separately from reconstructed samples. This parameter separation allows optimization of data amount by using appropriate bit-depth for IPCM storage while maintaining image quality through separate reconstruction parameters.
3Productivity
If separate bit-depth parameters are introduced for IPCM and reconstructed samples, then coding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the bit-depth parameter into two distinct parameters: one for IPCM samples and another for reconstructed samples. This segmentation allows independent optimization of each parameter, improving coding efficiency by enabling targeted bit-depth control for different data stages without requiring complete redesign of the parameter management system.
Data Source
AI summary
The image coding method is used to code images to generate a coded stream. The image coding method includes: writing, into a sequence parameter set in the coded stream to be generated, a first parameter representing a first bit-depth that is a bit-depth of a reconstructed sample in the images; and writing, into the sequence parameter set, a second parameter which is different from the first parameter and represents a second bit-depth that is a bit-depth of an Intra Pulse Code Modulation (IPCM) sample in the images.