Composite Image Compression Parameter Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for compressing composite images in multi-functional peripherals (MFPs) often result in image deterioration, particularly when using high compression ratios for both scanned and print data, leading to suboptimal image quality.
Innovation Solution
An image processing apparatus that checks the type of each image to be composited and selects an appropriate compression parameter based on the combination of scanned and print data, using a checking unit, selection unit, and image compression unit to optimize the compression ratio for the composite image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If high compression ratio is used for composite image, then image memory size is reduced, but image deterioration occurs in PDL image data portion
Solution Approach 1:
The patent segments the composite image into different regions corresponding to scanned image data and PDL image data. The checking unit identifies each region's type, and the selection unit applies different compression parameters to different regions - high compression ratio for scanned image portions and low compression ratio for PDL image portions. This segmentation allows simultaneous optimization of both memory size reduction and image quality preservation.
Solution Approach 2:
The patent implements local quality control by applying different compression parameters to different regions of the composite image based on the local characteristics of each region. Scanned image regions receive high compression parameters while PDL image regions receive low compression parameters, ensuring that each region is compressed according to its specific quality requirements rather than applying a uniform compression ratio to the entire image.
2Manufacturing precision
If low compression ratio is used for composite image, then image quality is maintained, but image memory size is not reduced efficiently
Solution Approach 1:
The patent divides the composite image into scanned image regions and PDL image regions, allowing differential compression strategies. Scanned image regions are compressed with high compression ratios to achieve significant memory size reduction, while PDL image regions use low compression ratios to maintain quality, resulting in overall efficient memory utilization without unnecessary quality loss in regions where it matters.
Solution Approach 2:
The patent dynamically changes compression parameters based on the local characteristics of image regions. The checking unit determines the type of each region, and the selection unit adjusts compression parameters accordingly - using high compression parameters for scanned regions and low compression parameters for PDL regions. This parameter adaptation enables optimal balance between memory size reduction and quality maintenance.
3Device complexity
If uniform compression parameter is applied to composite image, then processing is simplified, but severe image deterioration occurs in PDL image data portion
Solution Approach 1:
The patent introduces a checking unit that segments the composite image into scanned and PDL regions, enabling differentiated compression processing. Although this adds processing steps, it prevents severe image deterioration in PDL regions by identifying them and applying appropriate low compression parameters, while allowing high compression for scanned regions where quality loss is less noticeable.
Solution Approach 2:
The system performs self-service by automatically checking and identifying the type of each image region without user intervention. The checking unit autonomously determines whether each region is scanned or PDL data, and the selection unit automatically selects appropriate compression parameters, eliminating the need for manual parameter setting while ensuring optimal quality preservation.
Data Source
AI summary
An image processing apparatus includes an image composition unit configured to generate a composite image by compositing first and second images, a specification unit configured to specify a generation process of the first and second images, and a selection unit configured to select a compression parameter to compress the composite image based on the combination of the generation process of the first and second images specified by the specification unit. In addition, an image compression unit is configured to compress the composite image using the compression parameter selected by the selection unit. The image composition unit generates the composite image by compositing the first image regarded as a semitransparent image and the second image.