Image Sensor Error Correction for Compression Efficiency
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Solution Overview
Problem
High resolution image demands lead to increased memory requirements, hardware costs, and transmission bandwidth, and reduce compression rates due to error data in image sensors.
Innovation Solution
An electronic device with an image sensor module that corrects error data by sensing pixel differences, generates attribute information, and compresses the corrected raw image data, improving compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution image data is obtained through the image sensor, then the image quality is improved, but the memory requirements, hardware costs, and transmission bandwidth increase
Solution Approach 1:
The patent extracts and removes error data from the high-resolution image data before compression. The control circuit identifies defective pixel data and excludes it from the compression process, allowing the system to maintain high image quality while reducing the amount of data that needs to be stored and transmitted.
Solution Approach 2:
The patent performs error data correction and removal as a preliminary action before the compression process. By pre-processing the image data to eliminate errors and defects, the system optimizes the compression efficiency and reduces the final data size without compromising image quality.
2Measurement precision
If high resolution image data is obtained through the image sensor, then the image quality is improved, but the transmission bandwidth increases
Solution Approach 1:
The patent extracts error data from the image stream and removes it before transmission. This reduces the total data volume that needs to be transmitted while preserving the quality of valid pixel data, thereby reducing transmission bandwidth requirements.
Solution Approach 2:
The system performs preliminary error detection and correction within the image sensor module before data leaves the sensor. This pre-processing reduces the data size early in the pipeline, minimizing the bandwidth required for subsequent transmission to the processor.
3Productivity
If error data is present in the image data, then the raw image data can be compressed, but the compression rate is reduced due to error data
Solution Approach 1:
The patent converts the harmful effect of error data into a benefit by using the error detection process to identify and remove problematic pixels. The error data, which would normally degrade compression quality, is instead used as a basis for correction, leading to improved compression rates and higher reliability.
Solution Approach 2:
The control circuit acts as an intermediary between the image sensor and the compression algorithm. It detects error data, generates correction information, and provides cleaned image data to the compression process, thereby improving both compression rate and data reliability.
Data Source
AI summary
An electronic device includes a processor, and an image sensor module, wherein the image sensor module may include an image sensor, and a control circuit electrically connected to the image sensor and connected to the processor through an interface, and wherein the control circuit may obtain raw image data through the image sensor, sense at least one pixel data included in the raw image data and at least one error data based on a difference between pixel values of the at least one pixel data and each of at least one other pixel data adjacent to the at least one pixel data, generate attribute information corresponding to the at least one error data, correct the at least one error data based on a specified scheme, compress the raw image data in which the at least one error data are corrected, and transmit the compressed raw image data and the attribute information to the processor.