Image Processing Unit Resolution-Based Detection Sequence

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional image forming apparatuses face challenges in detection accuracy and processing delays due to differences in binarization timing based on image data resolution, leading to increased circuit complexity and costs.

Innovation Solution

An image forming apparatus with an image processing unit that stores low-resolution image data in a file memory for detection processing before binarization and performs multivalue converting and detection processing on high-resolution data after binarization, optimizing the processing sequence to avoid delays and maintain accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If image data is uniformly subjected to binarization processing before detection processing, then processing flow is simplified, but detection accuracy is lowered

Engineering Contradiction:
Improveprocessing flow complexityVSAvoiddetection accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies different processing approaches based on the local characteristics of image data. Low-resolution image data undergoes detection processing before binarization to maintain accuracy, while high-resolution image data undergoes binarization before detection processing. This localized differentiation resolves the contradiction by optimizing each case according to its specific requirements rather than applying a uniform approach.

Inventive Principle:
Principle #3Local quality

2Quantity of substance

If image data high in resolution is binarized immediately after rasterization, then amount of data to be handled is minimized, but processing delay occurs when followed by low-resolution data

Engineering Contradiction:
Improvedata amountVSAvoidprocessing delay
Core Design Contradiction:
Quantity of substanceVSLoss of time

Solution Approach 1:

The patent performs preliminary classification of image data resolution before determining the processing flow. By identifying whether image data is high or low resolution in advance, the system can pre-determine the optimal processing sequence, avoiding delays caused by uniform processing approaches and enabling efficient pipeline management.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If dedicated circuitry for detection processing is provided for each resolution type, then detection accuracy is maintained, but circuit scale increases leading to higher manufacturing cost

Engineering Contradiction:
Improvedetection accuracyVSAvoidcircuit scale
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs a universal detection processing unit that can handle both high-resolution and low-resolution image data. By using a single multi-functional detection unit rather than separate dedicated circuitry for each resolution type, the system maintains detection accuracy across different resolutions while avoiding the increased circuit scale and manufacturing costs that would result from multiple dedicated units.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11394845B2Image forming apparatus, method of controlling the same, and storage medium
Publication Date: 2022.07.19 KONICA MINOLTA INC
  • US11394845B2 patent drawing
  • US11394845B2 patent drawing
  • US11394845B2 patent drawing

AI summary

An image forming apparatus includes circuitry that binarizes image data, a memory, and a print engine unit that forms an image of the binarized image data. When the image data is low in resolution, the circuitry has the image data stored in the memory and thereafter performs on the image data, detection processing for detecting whether or not the image data includes a predetermined pattern before binarization processing. When the image data is high in resolution, the circuitry binarizes the image data, thereafter has the image data stored in the memory, thereafter further performs multivalue converting processing on the image data, and thereafter performs detection processing.