Array Camera Compression Module Truncating Redundant Image Data
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Solution Overview
Problem
Traditional cameras face challenges in efficiently compressing image data from multiple focal planes, leading to bandwidth constraints and inefficient data transmission.
Innovation Solution
An array camera system with a compression module that truncates redundant image data and generates a bitmask to compress image data, allowing for efficient data transmission while enabling decompression to reconstruct original images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data from multiple focal planes is transmitted directly without compression, then image quality and completeness are maintained, but bandwidth requirements increase significantly
Solution Approach 1:
The patent extracts and transmits only the essential or changed portions of image data from multiple focal planes, rather than transmitting complete image data. This is achieved by identifying and separating relevant data elements that contribute to final image synthesis, thereby reducing bandwidth requirements while maintaining image quality.
Solution Approach 2:
The patent segments image data from multiple focal planes into distinct data streams or groups, allowing selective processing and transmission of specific focal plane data. This segmentation enables the system to transmit only necessary data portions and facilitates efficient recombination during decompression to reconstruct high-resolution images.
2Reliability
If complete image data is transmitted to preserve image quality, then image quality is maintained, but data transmission efficiency decreases
Solution Approach 1:
The system extracts only the critical data elements needed for high-resolution image reconstruction, removing redundant information before transmission. This extraction process maintains the essential quality information while significantly improving data transmission efficiency by reducing the total data volume.
3Quantity of substance
If image data is compressed by truncating redundant data, then bandwidth requirements are reduced, but data completeness is compromised
Solution Approach 1:
The patent uses a bitmask as a copy or representation of the original data structure, which preserves the complete data layout information. This bitmask copy allows the system to transmit truncated image data while maintaining the ability to reconstruct the complete original data structure at the receiving end, thus preventing information loss.
Solution Approach 2:
The system changes the parameter representation by introducing a bitmask that encodes the structure and completeness information of the original image data. This parameter transformation allows truncated data to be transmitted efficiently while the bitmask preserves the necessary information for complete reconstruction during decompression.
4Loss of information
If all image data from multiple focal planes is transmitted, then complete image information is available, but processing complexity increases
Solution Approach 1:
The patent segments image data from multiple focal planes into organized groups or streams, allowing the processing system to handle data in manageable portions rather than as a single large data set. This segmentation reduces processing complexity by enabling parallel or sequential processing of individual focal plane data while maintaining complete image information.
Data Source
AI summary
Systems and methods for image data compression in an array camera are disclosed. An array camera includes a processor, an array of cameras, and a compression module. The compression module is configured to receive image data from the array of pixels of a focal plane in a sequentially linear group of pixel data, analyze the received image data based upon truncation rules, compress the received data image based upon the analysis to generate compressed image data, and generate a bit mask identifying truncated image data in the compressed image data.