Image Processing Apparatus Motion Vector Correction
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Solution Overview
Problem
Existing image processing technologies fail to effectively reduce interference from multiple images seen in the peripheral area of a motion area without compromising the image quality of the focused area, particularly in impulse-type displays like SED, FED, and organic EL displays, where the background of a moving object is perceived as an afterimage due to human visual tracking characteristics.
Innovation Solution
An image processing apparatus and method that detects motion vectors, determines whether pixels are moving or still, and performs correction processing to decrease high frequency components, contrast, or luminance for still pixels near motion pixels, using a motion detection unit, determination unit, and correction unit, thereby reducing interference without affecting the focused area's image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If high frequency components are decreased in areas with high edge density, then interference from multiple images is reduced, but image quality of the target area deteriorates
Solution Approach 1:
The patent applies different image processing treatments to different regions based on their characteristics. Motion areas (where objects are moving) receive one type of processing to reduce afterimage effects, while non-motion areas maintain original quality. This is achieved by detecting motion vectors and classifying pixels into motion and non-motion regions, then selectively applying frequency component reduction only where needed.
Solution Approach 2:
The patent dynamically adjusts image processing parameters based on real-time motion detection. By continuously analyzing motion vectors and updating the classification of motion vs. non-motion areas frame by frame, the system adapts the degree of frequency component reduction to match the actual motion content, ensuring optimal balance between reducing afterimage interference and preserving image quality.
2Adaptability or versatility
If the field of view moves to track a moving object, then the moving object can be followed, but the moving distance increases causing more interference from after images
Solution Approach 1:
The patent identifies the field of view region (area surrounding the moving object being tracked) and applies selective processing only within this dynamic region. By detecting the position and movement of the tracked object, the system determines which areas are within the viewer's field of view and applies frequency component reduction specifically to those regions, leaving other areas unaffected.
Solution Approach 2:
The patent divides the image into distinct regions: motion areas (containing moving objects), non-motion areas, and field of view areas. By segmenting the image processing task into these regions, the system can apply different processing strategies to each, reducing afterimage effects in the field of view while preserving quality in other regions.
Data Source
AI summary
An image processing apparatus according to the present invention, comprises:a motion detection unit that detects a motion vector from an input image;a determination unit that determines whether an image is moving in each pixel in use of the detected motion vector, and determines whether a motion pixel, about which determination has been made that the image is moving therein, exists in a predetermined range from a still pixel about which determination has been made that the image is not moving therein; anda correction unit that performs correction processing to decrease at least one of high frequency components, contrast, and luminance for the still pixel about which determination has been made that a motion pixel exists in the predetermined range.