Light Field Image Processing Apparatus Data Reduction via Region Segmentation

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Solution Overview

Problem

Light Field (LF) data contains large amounts of information about angle and space distribution of light intensity, resulting in significant data volume.

Innovation Solution

An image processing apparatus that sets areas within the image and applies different levels of addition processing to subpixel signals based on in-focus information to generate first and second image data, reducing the data amount while maintaining necessary information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If LF data is constructed by a plurality of parallax images containing angle distribution information and space distribution information, then refocusing capability is improved, but data amount increases significantly

Engineering Contradiction:
Improverefocusing capabilityVSAvoiddata amount
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The image area is divided into multiple regions, and different processing methods are applied to each region. Specifically, the image is segmented into a first region where subpixel signals are added and a second region where they are not added, allowing selective data reduction while preserving refocusing capability where needed

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different quality levels of data are assigned to different regions of the image. The first region maintains full subpixel information for refocusing operations, while the second region uses reduced data, creating local variations in data quality based on regional requirements

Inventive Principle:
Principle #3Local quality

2Quantity of substance

If all subpixel signals are added together to generate a single image, then data amount is reduced, but refocusing information is lost

Engineering Contradiction:
Improvedata amountVSAvoidrefocusing information
Core Design Contradiction:
Quantity of substanceVSLoss of information

Solution Approach 1:

The processing is segmented by region rather than applying a uniform approach to the entire image. This allows preservation of refocusing information in the first region while reducing data in the second region, avoiding complete information loss

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of adding all subpixel signals everywhere (excessive action), the patent applies addition processing only partially in specific regions where it is most beneficial, maintaining necessary information in other regions

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS9826139B2Image processing apparatus, image processing method, program, and image pickup apparatus having the image processing apparatus
Publication Date: 2017.11.21 CANON KK
  • US9826139B2 patent drawing
  • US9826139B2 patent drawing
  • US9826139B2 patent drawing

AI summary

An image processing apparatus for processing image pickup signals of subpixels of an image pickup element including a plurality of unit pixels each of which has a plurality of subpixels for receiving light passing through different partial pupil areas of a focusing optical system and generating image data of a photographed image, obtains in-focus information of the photographed image, sets a first area and a second area different from the first area onto the photographed image on the basis of the obtained in-focus information, and adds a part of the image pickup signals of the subpixels obtained from the image pickup element so that the number of image pickup signals of the subpixels per unit pixel in the image data of the photographed image corresponding to the first area is larger than that of the image data of the photographed image corresponding to the second area.