Image Processing Device Selective Luminance Filtering for Black Characters

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Solution Overview

Problem

Conventional image processing devices apply filtering processing to all image data, including black character signals, leading to color blurring, which is wasteful and harmful.

Innovation Solution

An image processing device that acquires pixel data, converts it into luminance and color difference components, determines if it has a black character attribute, and applies filtering only to the luminance component to prevent color blurring, using specific filter coefficients to enhance differences between target and neighboring pixel data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If filtering processing is applied to all image data, then edge enhancement is achieved, but color blurring occurs and processing becomes wasteful

Engineering Contradiction:
Improveedge enhancement qualityVSAvoidcolor blurring
Core Design Contradiction:
Manufacturing precisionVSObject-generated harmful factors

Solution Approach 1:

The patent applies filtering processing selectively only to pixel data determined to have black character attributes, rather than uniformly to all image data. The determination section identifies black character pixels by checking if luminance is below a threshold and color difference is within a range, then applies edge enhancement filtering only to these identified pixels. This localized application prevents color blurring in non-black regions while maintaining edge enhancement benefits where needed.

Inventive Principle:
Principle #3Local quality

2Manufacturing precision

If filtering processing is applied to all image data, then edge enhancement is achieved, but processing efficiency decreases

Engineering Contradiction:
Improveedge enhancement qualityVSAvoidprocessing efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The patent extracts and processes only the necessary portion of image data by identifying black character attributes first. The determination section separates black character pixels from other pixels based on luminance and color difference thresholds. Only the extracted black character pixel data undergoes filtering processing, eliminating wasteful computation on non-black pixels and improving overall processing efficiency.

Inventive Principle:
Principle #2Taking out (Extraction)

3Object-generated harmful factors

If filtering processing is applied to black character signals, then color blurring is prevented, but processing complexity increases

Engineering Contradiction:
Improvecolor blurring preventionVSAvoidprocessing complexity
Core Design Contradiction:
Object-generated harmful factorsVSDevice complexity

Solution Approach 1:

The patent performs preliminary determination of black character attributes before applying filtering processing. The determination section evaluates luminance and color difference thresholds in advance to identify black character pixels. This preliminary classification simplifies the subsequent filtering stage by pre-marking target pixels, reducing the complexity of the overall processing system compared to attempting to prevent color blurring through complex filtering parameter adjustments.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9247224B2Image processing device performing filtering process on image data components using filter coefficient
Publication Date: 2016.01.26 BROTHER KOGYO KK
  • US9247224B2 patent drawing
  • US9247224B2 patent drawing
  • US9247224B2 patent drawing

AI summary

An image processing device includes an acquisition section, first conversion section, determination section, filtering section, and second conversion section. The acquisition section acquires first image data defined by a plurality of color components. The first conversion section converts, for each pixel data, the plurality of color components into converted pixel data defined by a luminance and a color difference. The determination section determines whether or not each converted pixel data is target pixel data having a black character attribute. The filtering section performs a filtering process on a luminance of each target pixel data using a filter coefficient to obtain processed pixel data defined by the luminance and the color difference. The filter coefficient enhances a difference in the luminance between the each target pixel data and neighboring pixel data. The second conversion section converts each processed pixel data into updated pixel data defined by the plurality of color components.