Image Sensor Pixel Data Rearrangement for Compression
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Solution Overview
Problem
The increasing size of image data in camera modules within electronic devices hampers transmission and storage efficiency due to varying pixel data arrangements across manufacturers, leading to lower compression rates as adjacent pixel data often have different attributes.
Innovation Solution
An electronic device with an image sensor module and control circuit that rearranges pixel data based on predetermined attributes to create a more compressible array, allowing for improved compression rates by ensuring similar pixel data are adjacent to each other.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pixel data with different attributes are arranged adjacent to each other to improve image quality, then image quality is improved, but compression rate is lowered
Solution Approach 1:
The patent segments pixel data by attributes (e.g., color filters, exposure times) and creates separate channels for each attribute type. This segmentation allows pixels with the same attribute to be grouped together, enabling independent processing and compression optimization for each attribute channel while maintaining the ability to reconstruct high-quality images.
Solution Approach 2:
The patent introduces a new dimension of organization by rearranging pixel data from spatial arrangement to attribute-based arrangement. Instead of arranging pixels solely by their position in the image grid, the system adds an attribute grouping dimension, transforming the data structure to enable both high-quality reconstruction and improved compression by placing similar attribute pixels adjacent to each other.
2Reliability
If image data size is increased to capture more detail, then image quality is improved, but transmission and storage efficiency is reduced
Solution Approach 1:
The patent changes the organizational parameters of image data from traditional spatial arrangement to attribute-based arrangement. By modifying how pixel data is structured and grouped (changing the data organization parameter), the system achieves better compression ratios without losing image quality, thereby improving transmission efficiency even when capturing high-detail images.
3Adaptability or versatility
If manufacturer-specific pixel arrangements are maintained, then device compatibility is ensured, but compression rate is reduced due to varying arrangements
Solution Approach 1:
The patent creates a universal attribute-based organization system that can handle different manufacturer-specific pixel arrangements. By defining a common attribute classification framework that works across different sensor types and manufacturers, the system achieves both device compatibility and improved compression rates, as the attribute grouping logic remains consistent regardless of the original pixel arrangement.
Data Source
AI summary
According to various embodiments of the disclosure, disclosed is an electronic device including a processor and an image sensor module. The image sensor module includes an image sensor in which sensor pixels are arranged and a control circuit electrically connected to the image sensor and connected to the processor. The control circuit is configured to obtain raw image data including pieces of image pixel data, in which first pixel data corresponding to a first attribute and second pixel data corresponding to a second attribute are arranged in a first array, to identify rearrangement information predetermined based on the first attribute and the second attribute, to change the array of the pieces of image pixel data into a second array based on the rearrangement information such that at least part of the first pixel data is arranged adjacent and at least part of the second pixel data is arranged adjacent, to generate compression data obtained by compressing the pieces of image pixel data whose array is changed into the second array, and to transmit the compression data to the processor. The processor is configured to restore the raw image data. Other various embodiments as understood from the specification are also possible.