Image Processing Device Reducing Memory and Compressibility Errors

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Solution Overview

Problem

In image processing systems, the accumulation of compressibility errors during data compression and expansion leads to significant deterioration in image quality, particularly when handling high-definition image data, necessitating large memory capacities to store raw data and increasing manufacturing costs.

Innovation Solution

An image processing apparatus that compresses reference data only once in a group of frames, using restored reference data to simulate reference data for subsequent frames, thereby reducing compression frequency and accumulated errors, while still minimizing memory requirements by storing compressed data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If data is compressed and stored in memory to reduce memory capacity, then memory capacity requirements are reduced, but compressibility errors accumulate and deteriorate image quality

Engineering Contradiction:
Improvememory capacityVSAvoidimage quality
Core Design Contradiction:
Quantity of substanceVSManufacturing precision

Solution Approach 1:

The image data processing is segmented into multiple frames, where only specific frames (e.g., odd-numbered frames) are compressed and stored, while other frames (even-numbered frames) are processed using reference data from previously stored frames. This segmentation reduces the frequency of compression operations, thereby reducing accumulated compressibility errors while still maintaining memory capacity reduction benefits.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of compressing and storing every frame, the system creates reference data copies from previously stored and expanded frames. These reference data copies are used for processing intermediate frames without compression, eliminating compressibility errors for those frames while maintaining the memory reduction advantage.

Inventive Principle:
Principle #26Copying

2Quantity of substance

If compression processing is performed frequently to minimize memory usage, then memory capacity is reduced, but compressibility errors increase significantly

Engineering Contradiction:
Improvememory capacityVSAvoidcompressibility error
Core Design Contradiction:
Quantity of substanceVSLoss of information

Solution Approach 1:

Compression and storage operations are performed periodically at fixed intervals (e.g., every other frame or at specific frame positions) rather than continuously for every frame. This periodic approach allows the system to maintain reduced memory capacity while significantly reducing the frequency of compression operations, thereby minimizing accumulated compressibility errors.

Inventive Principle:
Principle #19Periodic action

3Manufacturing precision

If raw data is stored without compression to maintain image quality, then image quality is preserved, but memory capacity requirements increase and manufacturing cost rises

Engineering Contradiction:
Improveimage qualityVSAvoidmemory capacity
Core Design Contradiction:
Manufacturing precisionVSQuantity of substance

Solution Approach 1:

Different quality levels are applied to different frames based on their position in the sequence. Specifically, frames at compression points (e.g., odd-numbered frames) are stored with full quality after compression, while intermediate frames (even-numbered frames) use reference data for processing. This local differentiation maintains acceptable image quality overall while reducing memory capacity requirements compared to storing all raw data.

Inventive Principle:
Principle #3Local quality

Data Source

PatentEP2648179B1Image processing device, image processing method
Publication Date: 2019.01.02 SHARP KK
  • EP2648179B1 patent drawingFigure 1
  • EP2648179B1 patent drawingFigure 2
  • EP2648179B1 patent drawingFigure 3

AI summary

Provided is an image processing apparatus capable of simultaneous reduction in memory capacity and compressibility error. An output image data generating means 11 generates processed image data based on specific reference data and preprocessed image data. Reference data generating means 5 repeatedly executes an identical processing in one term made up of not less than two consecutive frames. When an object frame is a top frame in the term, restored reference data generated by data expanding means 15 is outputted as data expanding means. When the object frame is a second or subsequent frame in the term, simulated specific reference data is generated based on the restored reference data generated by the data expanding means 15 and preprocessed image data of the object frame, and outputted as specific reference data. When the object frame is a final frame in the term, in addition to the above operation, the reference data is generated based on the specific reference data and preprocessed image data of the object frame, and outputted to the data compressing means 13, to be compressed.