Autofocus Processing Using Adaptive Image Data Expansion

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Solution Overview

Problem

Existing image pickup apparatuses face challenges in achieving good autofocus performance when using compressed image data, as it is difficult to realize accurate autofocusing solely with compressed data.

Innovation Solution

An image pickup apparatus and method that includes a compression unit for compressing image data, an expansion unit for expanding the compressed data based on a coding parameter, and a processing unit for adaptive autofocus processing using the expanded data, where the autofocus processing is adjusted based on the coding parameter to optimize focus detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If image data is compressed to reduce transmission data量, then transmission bandwidth requirement is reduced, but autofocus processing accuracy deteriorates

Engineering Contradiction:
Improvetransmission data量VSAvoidautofocus processing accuracy
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent segments the image data processing by separating compression processing from autofocus processing. Compressed image data is transmitted through the bus, while decoded image data is generated separately for autofocus processing. This segmentation allows different data formats to be used for different purposes, resolving the contradiction between transmission efficiency and processing accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces decoded image data as an intermediary between the compressed image data from the bus and the autofocus processing unit. The decoded image data serves as a bridge that preserves the original quality needed for accurate autofocus while allowing compressed data to be used for transmission, thus resolving the accuracy loss problem.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If a bus with large transmission capacity is used to transmit large amount of data, then data transmission capability is improved, but system cost increases

Engineering Contradiction:
Improvedata transmission capabilityVSAvoidsystem cost
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent changes the parameter of image data from uncompressed to compressed format for transmission through the bus. By applying compression processing, the data transmission capability is maintained while using a bus with lower transmission capacity requirements, thus reducing system cost without sacrificing productivity.

Inventive Principle:
Principle #35Parameter changes

3Speed

If compressed image data is used directly for autofocus processing, then processing speed is improved, but focus detection accuracy deteriorates

Engineering Contradiction:
Improveprocessing speedVSAvoidfocus detection accuracy
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The patent segments the image data into two pathways: compressed image data for fast transmission and decoded image data for accurate processing. The autofocus processing unit receives decoded image data separately, maintaining focus detection accuracy while the compressed data pathway ensures fast transmission, thus resolving the speed-accuracy trade-off.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS9826142B2Image pickup apparatus and method of controlling image pickup apparatus
Publication Date: 2017.11.21 CANON KK
  • US9826142B2 patent drawing
  • US9826142B2 patent drawing
  • US9826142B2 patent drawing

AI summary

An image pickup apparatus, including: a compression unit configured to perform compression processing on image data; an expansion unit configured to perform expansion processing on the image data that has been subjected to the compression processing based on a coding parameter used for the compression processing on the image data; and a processing unit configured to perform autofocus processing based on the image data that has been subjected to the expansion processing, the autofocus processing being adaptively performed based on the coding parameter.