Image Processing Apparatus Parallel Frame Rate Conversion
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Solution Overview
Problem
Current image processing technologies face challenges in efficiently processing high-resolution images due to limitations in time and resources, particularly in achieving optimal frame rate conversion and memory management for displaying high-definition images across multiple display regions.
Innovation Solution
An image processing apparatus and method that divides input image data into multiple split data streams, each processed by a frame rate converter, which synchronizes and converts the frame rate with global information, and includes a memory controller for efficient memory management, reducing bandwidth and resource requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image data is divided into multiple split data streams for parallel processing, then processing throughput is improved, but memory bandwidth requirements increase
Solution Approach 1:
The image processing system divides the input image data into N split data streams (where N≥2), with each stream assigned to a dedicated frame rate converter. This segmentation enables parallel processing of different portions of the image data simultaneously, improving overall processing throughput while allowing each processor to operate independently on its assigned segment.
Solution Approach 2:
The patent introduces a global information generation unit that creates unified motion vectors and global information from sampled image data, which are then shared across all N frame rate converters. By merging the generation of global information and selectively sharing it among parallel processors, the system reduces redundant computations and decreases total memory bandwidth requirements compared to fully independent processing.
2Manufacturing precision
If frame rate conversion is performed with high precision motion estimation, then image quality is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary sampling of image data to generate global information and motion vectors before the actual frame rate conversion process. By preparing these reference data structures in advance, the patent reduces the computational burden during the time-critical frame rate conversion phase, enabling high-precision motion estimation without excessive processing delays.
Solution Approach 2:
The patent applies different processing strategies to different regions of the image data. Global information is generated from sampled regions and then applied to guide the frame rate conversion of the entire image or different segments. This allows high-precision processing where needed while using the pre-computed global information to reduce processing requirements in other areas.
3Productivity
If multiple frame rate converters process split image data independently, then processing parallelism is improved, but memory resource usage increases
Solution Approach 1:
The patent creates a universal global information structure that serves all N frame rate converters simultaneously. The motion vectors and global information generated from sampled data are shared resources that multiple converters can utilize for their respective processing tasks. This multi-functional information structure allows parallel processing while reducing total memory resource usage compared to each converter having independent complete data sets.
Data Source
AI summary
Image processing apparatus, an image processing system, and an image processing method. The image processing apparatus includes: an input image processing unit for outputting global information of sample data obtained by sampling first image data and dividing and outputting the first image data into an N (where N is a positive integer equal to or greater than 2) number of split image data; and a frame rate conversion unit including an N number of frame rate converters, wherein each of the N number of frame rate converters converts a frame rate of corresponding split image data among the N number of split image data synchronized with the global information and outputs the frame rate converted split image data as split display data, wherein the split display data is to be displayed on one of an N number of display regions.