Captured Image Compression by Merging Data Rows
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Solution Overview
Problem
Existing image processing systems face inefficiencies in compressing large volumes of captured images, particularly in high-throughput applications like mail sorting, leading to increased memory usage and slower data transmission.
Innovation Solution
A system and method for simultaneously compressing multiple sets or rows of digital data from captured images using a single compression operation, incorporating identifier bits to facilitate efficient decompression, and employing variable length compression methods like Huffman coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple captured images are compressed individually using separate compression operations, then each image can be processed independently, but the overall compression efficiency is reduced and memory usage increases
Solution Approach 1:
The patent combines multiple captured images into a single composite image before compression. The processor circuit merges a first captured image and a second captured image into one composite image, which is then compressed in a single operation. This merging approach reduces the total number of compression operations needed and decreases memory usage compared to compressing each image separately.
2Loss of time
If multiple captured images are compressed in separate operations, then decompression can be performed independently for each image, but the data transmission time increases
Solution Approach 1:
The system merges multiple captured images into a single composite image that contains information from all source images. This composite image is then compressed once, reducing the total data transmission time compared to compressing and transmitting multiple separate images. The merging process integrates the images in a way that preserves necessary information while reducing overall data volume.
3Speed
If individual compression operations are performed on each captured image, then image processing is simpler, but the overall processing speed decreases
Solution Approach 1:
The processor circuit merges multiple captured images into a single composite image before compression, enabling faster overall processing. By combining images upfront, the system reduces the number of separate compression operations required, thereby increasing processing speed. The merging step integrates image data in a manner that facilitates efficient subsequent compression.
Data Source
AI summary
This application relates to a system for compressing captured images. The system may include an image capturing device configured to continuously capture images, for example, of a location, or frame, or field of view, and convert the captured images respectively into a plurality of sets of digital data, each of the plurality of sets of digital data including at least two consecutive rows of digital data. The system may also include a processor circuit configured to combine the at least two sets of the plurality of sets of digital data to generate a pre-compression set of digital data and simultaneously compress the pre-compression set of digital data simultaneously or together in a single compression operation.