Image Processing Apparatus Rectangular Segmentation Phase Update
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Solution Overview
Problem
Existing image processing techniques struggle with maintaining image quality across discontinuous band areas, particularly in double-sided processing and multicolor processing, where automatic phase information update methods fail to provide consistent initial phase information, leading to performance issues and increased circuit complexity.
Innovation Solution
An image processing apparatus that divides input images into rectangular areas, storing intermediate information for each pixel and updating it based on a specified update period, allowing for efficient image processing across partial areas without the need for continuous phase information or additional hardware resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If phase information is automatically updated in accordance with scaling ratio, then firmware control complexity is reduced, but it cannot be applied to discontinuous band areas such as double-sided processing and multicolor processing
Solution Approach 1:
The image processing is divided into independent rectangular image processing units, each capable of autonomous processing. The input image is segmented into multiple rectangular regions that can be processed separately and then combined, enabling application to discontinuous band areas while maintaining simple control logic for each segment.
Solution Approach 2:
The image processing apparatus is designed with universal functionality to handle various processing scenarios including continuous band areas, discontinuous band areas, double-sided processing, and multicolor processing. A single unified processing architecture serves multiple purposes without requiring different control mechanisms for each case.
2Productivity
If the same number of HW resources as the number of planes/colors are prepared, then processing capability is improved, but circuit scale increases
Solution Approach 1:
Processing is divided into independent rectangular image units that can be handled sequentially or in parallel. Each rectangular image processing unit processes one rectangular image at a time, allowing efficient resource utilization without duplicating full processing resources for each color or plane.
Solution Approach 2:
The apparatus dynamically switches between processing different rectangular images and colors using the same hardware resources. By sequentially processing different color planes and rectangular regions, the system achieves multi-color and multi-plane processing capability without requiring simultaneous dedicated resources for each.
Data Source
AI summary
In order to suitably perform image processing on each partial area of an input image, an image processing apparatus divides an input image into a plurality of rectangular images, and performs image processing for each rectangular image. The apparatus stores intermediate information corresponding to each pixel in a rectangular image; performs image processing on pixel data of a rectangular image of interest based on the intermediate information, and generates intermediate information to be used in image processing on pixel data subsequent to the rectangular image of interest; and updates the intermediate information with the generated intermediate information. The apparatus updates the intermediate information based on given update period information that indicates an intermediate information update period.


