LED Line Head Density Correction via Halftone Masking

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Solution Overview

Problem

Conventional image forming apparatuses with LED line heads face challenges in maintaining uniform light amounts across light emitting devices, leading to density unevenness and streaks, which require complex correction circuits and increased memory capacity, especially at high print resolutions.

Innovation Solution

The solution involves measuring and storing light amount information for LED line heads, generating mask patterns based on this data, and performing density correction on halftone image data to prevent density unevenness and streaks, while allowing for position correction after halftone processing to maintain image quality and reduce circuit complexity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If density correction is performed on multi-value image data at print resolution, then light amount uniformity is improved, but memory capacity requirements increase

Engineering Contradiction:
Improvelight amount uniformityVSAvoidmemory capacity
Core Design Contradiction:
Manufacturing precisionVSQuantity of substance

Solution Approach 1:

The patent performs position correction on halftone image data before density correction. By pre-aligning the halftone data with the light amount property data at a lower resolution stage, the system avoids the need to store and process high-resolution multi-value image data during density correction, thereby reducing memory capacity requirements while maintaining correction effectiveness

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent separates position correction and density correction into distinct processing stages. Position correction is performed first on halftone image data, followed by density correction on the position-corrected data. This segmentation allows each correction to be performed on appropriately scaled data, reducing overall memory requirements compared to performing both corrections simultaneously on full-resolution multi-value data

Inventive Principle:
Principle #1Segmentation

2Manufacturing precision

If position correction is performed on multi-value image data, then image position accuracy is improved, but circuit scale increases

Engineering Contradiction:
Improveimage position accuracyVSAvoidcircuit scale
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent performs position correction on halftone image data before density correction rather than on the original multi-value image data. This preliminary action on already-processed halftone data reduces the complexity of position correction circuits while maintaining accuracy, as the data is already in a simplified binary format suitable for position alignment

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

Instead of performing position correction on the original multi-value image data and then converting to halftone, the patent inverts the sequence by first converting to halftone and then performing position correction. This inversion simplifies the position correction process and reduces circuit scale while achieving the same positional accuracy

Inventive Principle:
Principle #13The other way round (Inversion)

3Manufacturing precision

If high print resolution is used, then image quality is improved, but memory capacity for correction data increases

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

Solution Approach 1:

The patent performs position correction on halftone image data at a resolution lower than the final print resolution. By establishing positional accuracy at this intermediate stage, the system avoids the need to store and process full-resolution multi-value data during correction operations, thereby reducing memory capacity requirements while maintaining high final print quality

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies density correction based on light amount property data that is specific to each pixel position. By using position-corrected halftone data that aligns with the spatial characteristics of the LED line head, the system achieves high local quality correction without requiring full high-resolution correction data to be stored in memory

Inventive Principle:
Principle #3Local quality

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach effectively suppresses the need for large memory capacity and complex circuits, ensuring uniform image density and preventing streaks and moiré issues, while allowing for accurate position correction and maintaining image quality even at high resolutions.

Implementation Method 1

LED line head in which a plurality of light emitting devices are arranged in a line

Methodology Applied
Scientific EffectLight Emitting Diode: Light Emitting Diode

Implementation Method 2

exposure device that selectively exposes the outer peripheral surface of the uniformly charged photosensitive member, and forms an electrostatic latent image

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Data Source

PatentEP3617805B1Image forming apparatus, method of controlling the same, and storage medium
Publication Date: 2022.10.12 CANON KK
  • EP3617805B1 patent drawingFigure 1~2
  • EP3617805B1 patent drawingFigure 3
  • EP3617805B1 patent drawingFigure 4

AI summary

An image forming apparatus comprising a printer unit that prints an image on a sheet using a line head in which a plurality of light emitting devices are arranged, and a storage that stores information regarding light amounts corresponding to the light emitting devices of the line head. The image forming apparatus generates a mask pattern based on the information regarding the light amounts obtained from the storage and a target light amount, and executes mask processing on halftone image data that is in positional correspondence with the light emitting devices, using the generated mask pattern.