Image Sensor Multi-Chip Stack Dynamic Compression
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Solution Overview
Problem
Stack type image sensors face inefficiencies in storing and transmitting pixel images due to high image loss and slow data output, necessitating a solution to enhance storage and transmission efficiency while minimizing image loss.
Innovation Solution
The implementation of a multi-chip stack structure with an image generator, image processing device, and storage unit, where the image processing device determines processing modes based on user input, analysis results, and motion signals to select compression ratios and paths for efficient image processing and storage, including compression and decompression processes to optimize data handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If compression is applied to store more images in the frame buffer, then storage capacity is improved, but image loss increases
Solution Approach 1:
The patent implements dynamic compression ratio adjustment based on motion detection. When motion is detected in the scene, the compression ratio is reduced or compression is disabled to preserve image quality. When no motion is detected, higher compression ratios are applied to maximize storage capacity. This dynamic adaptation resolves the contradiction by making compression intensity conditional rather than fixed.
Solution Approach 2:
The system changes the compression parameter (compression ratio) based on scene characteristics and motion detection results. By adjusting this parameter dynamically, the system optimizes the balance between storage efficiency and image quality preservation, resolving the contradiction between maximizing storage capacity and minimizing image loss.
2Quantity of substance
If high speed transmission is implemented with a large capacity frame buffer, then data storage is improved, but output speed decreases
Solution Approach 1:
The patent divides the frame buffer into multiple regions or segments that can be independently managed. This segmentation allows for selective output of compressed data at optimized rates, improving overall output speed while maintaining large storage capacity. The segmented structure enables parallel processing and reduces bottlenecks in data output.
3Quantity of substance
If compression processing is applied to pixel images, then storage efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent applies compression selectively rather than universally. Compression is applied only to portions of the image data where it provides benefit, such as static backgrounds or low-motion regions, while high-motion regions may be processed differently or with lower compression. This partial application reduces overall processing complexity while maintaining storage efficiency benefits.
Data Source
AI summary
An electronic device includes an image sensor including an image generator configured to generate and output a pixel image, an image processing device configured to process the pixel image, and a storage unit configured to store the pixel image, and an application processor configured to generate a mode setting signal and configured to transmit the generated mode setting signal to the image processing device. The image processing device is configured to generate a plurality of path selection signals for selecting a path to use by the image processing device to process the pixel image, based on the mode setting signal. The image processing device selects a compression ratio for the pixel image based on at least one of an input signal of a user, an analysis result of the pixel image, and a motion signal of the image sensor, and compresses the pixel image based on the selected compression ratio.