Adaptive Quantization for DPCM and PCM Mode Switching

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Solution Overview

Problem

Current data compression techniques, particularly in image processing, face challenges in efficiently reducing data size while maintaining quality, especially when dealing with varying pixel values and differences, leading to suboptimal compression ratios and increased bandwidth requirements.

Innovation Solution

The method employs adaptive quantization to determine whether a pixel is coded as PCM or DPCM data based on a difference signal's range and error values, using an adaptive quantization module to dynamically adjust the coding mode and reduce data size effectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If DPCM coding is used for all pixels, then compression ratio is improved, but image quality deteriorates when difference signal exceeds representable range

Engineering Contradiction:
Improvecompression ratioVSAvoidimage quality
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements dynamic mode switching between DPCM and PCM coding for each pixel based on whether the difference signal falls within the representable range. This dynamic adaptation allows the system to maximize compression ratio while preventing quality deterioration by switching to PCM mode when difference signals exceed the DPCM range, thus resolving the contradiction between compression efficiency and image quality reliability.

Inventive Principle:
Principle #15Dynamics

2Reliability

If adaptive quantization with mode switching is implemented, then image quality is improved, but device complexity increases

Engineering Contradiction:
Improveimage qualityVSAvoidcoding complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the coding process into distinct modes (DPCM and PCM) with clear decision boundaries based on difference signal range. This segmentation simplifies the adaptive quantization logic by providing straightforward conditional branching rather than complex continuous optimization, thereby improving image quality while limiting the increase in device complexity to manageable levels.

Inventive Principle:
Principle #1Segmentation

3Reliability

If PCM coding is used for pixels with large difference signals, then image quality is maintained, but compression ratio deteriorates

Engineering Contradiction:
Improveimage qualityVSAvoidcompression ratio
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent changes the coding parameter (mode selection) based on the magnitude of the difference signal. By monitoring the difference signal range and switching between DPCM and PCM modes, the system optimizes the balance between compression ratio and image quality for each pixel, using DPCM for small differences to maximize compression and PCM for large differences to maintain quality, thus resolving the contradiction between these two parameters.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS8107751B2DPCM with adaptive range and PCM escape mode
Publication Date: 2012.01.31 SHARP KK
  • US8107751B2 patent drawing
  • US8107751B2 patent drawing
  • US8107751B2 patent drawing

AI summary

The embodiments of the present invention provide for methods, devices, and systems adapted to perform adaptive quantization processes. The adaptive quantization processes of the present invention are adapted to provide one or more adaptive quantization modes based on one or more previous pixels and their associated coding modes. The output of an adaptive quantization process may include coded data and a coding mode, indicating whether the coded data is pulse code modulation (PCM) data or differential pulse code modulation (DPCM) data.