Mosaic Image Data Processing via Independent Color Channel Segmentation
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Solution Overview
Problem
Conventional image processing in devices consumes excessive resources due to the need to convert mosaic data into RGB format before further processing, as RGB data requires three times the storage and processing power of mosaic data.
Innovation Solution
Processing mosaic image data by separating and compressing color channels independently before demosaicing, allowing for efficient storage and processing, and transforming resolution during demosaicing to reduce computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mosaic data is converted to RGB format before processing, then color processing and compression can be performed, but processing resources and storage requirements increase threefold
Solution Approach 1:
The patent segments the RGB image processing into three separate color channel processing streams. Each color channel (R, G, B) is processed independently from its mosaic data without full demosaicing, dividing the computational workload and avoiding the need to process three times more data in RGB format.
Solution Approach 2:
The patent performs compression and color processing on mosaic data before demosaicing occurs. By applying compression algorithms to the raw mosaic data in advance, the system reduces data volume early in the processing pipeline, preventing the expansion to three times larger RGB data sets.
2Ease of operation
If mosaic data is converted to RGB format before processing, then standard image processing can be applied, but storage requirements increase three times
Solution Approach 1:
The patent maintains three separate color channel data streams in mosaic format rather than converting to a single RGB data structure. This segmentation allows storage of only the necessary color information at full resolution while avoiding the tripling of storage requirements that would result from full demosaicing to RGB format.
Solution Approach 2:
The patent changes the data representation parameters by processing mosaic data directly in its original format rather than converting to RGB. This parameter change maintains storage efficiency while enabling color processing through separate channel manipulation.
3Loss of information
If full demosaicing is performed before compression, then color information is complete, but processing time and computational resources increase
Solution Approach 1:
The patent performs compression on mosaic data before demosaicing is completed. By applying compression algorithms to the intermediate mosaic representation early in the processing pipeline, the system avoids the time-consuming full demosaicing operation while still achieving effective compression.
Solution Approach 2:
The patent applies partial demosaicing or selective color channel processing rather than complete demosaicing for all channels. This partial action provides sufficient color information for compression while avoiding the excessive computational burden of full demosaicing.
Data Source
AI summary
A method having a corresponding apparatus and computer program comprises receiving a mosaic image comprising a plurality of pixels; separating the mosaic image into a plurality of color channels each comprising only the pixels having a corresponding one of a plurality of colors; and processing each color channel of the image data separately, wherein the processing of each of the color channels comprises at least one of compressing the pixels in the color channel, and color processing the pixels in the color channel.