Differential Signal Imaging for Compressed Sensing Sparsity

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Images with high randomness and small objects scatter often result in poor sparsity, leading to degraded image quality in reconstruction images using compressed sensing techniques.

Innovation Solution

An imaging device that calculates differential signals between charge signals held by multiple charge holding units and performs multiple sampling processing on these differential signals, converting them into digital signals for high-quality image reconstruction using compressed sensing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If compressed sensing is used for image reconstruction, then data compression and reduced ADC drive frequency are achieved, but image quality degrades when sparsity is poor

Engineering Contradiction:

Improvepower consumptionVSAvoidimage quality

Core Design Contradiction:

Loss of energyVSMeasurement precision

Solution Approach 1:

The image acquisition process is segmented into multiple frames, where only differential information from certain frames is compressed and transmitted. This allows selective application of compressed sensing only where needed, preserving full quality for reference frames and using compression only for differential updates, thus maintaining image quality while reducing overall data transmission power consumption

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Reference frames are acquired and stored in full resolution before compressed sensing is applied to differential frames. This preliminary acquisition of complete information allows the system to reconstruct high-quality images by combining full-reference data with compressed differential data, overcoming the sparsity limitation

Inventive Principle:

Principle #10Preliminary action

2Quantity of substance

If additional imaging is performed for compressed sensing, then data amount is reduced, but information loss degrades reconstruction image quality

Engineering Contradiction:

Improvedata amountVSAvoidimage information

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The system merges full-resolution reference frame data with compressed differential frame data during reconstruction. By combining complete information from reference frames with incremental changes from compressed sensing frames, the system achieves both data reduction and preservation of image information that would be lost through compression alone

Inventive Principle:

Principle #5Merging (Combining)

3Measurement precision

If differential signals are used instead of original charge signals, then sparsity is improved, but additional processing complexity is introduced

Engineering Contradiction:

ImprovesparsityVSAvoidprocessing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

Instead of applying compressed sensing directly to original image data, the system inverts the approach by first acquiring full reference frames, then applying compressed sensing to differential frames (difference between current and reference). This inversion allows the use of simpler compression on smaller differential data while maintaining reconstruction quality through the reference frame

Inventive Principle:

Principle #13The other way round (Inversion)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The use of differential signals with higher sparsity enables the generation of high-quality reconstruction images, improving image quality in scenarios where sparsity is poor.

Implementation Method 1

a photoelectric conversion unit configured to convert optical signals received by a plurality of pixels to electrical signals

Methodology Applied

Scientific EffectPhotoelectric conversion: Photoelectric Effect

Data Source

PatentUS10110808B2Imaging device and imaging method using compressed sensing

Publication Date: 2018.10.23 PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD

AI summary

In an imaging device, a difference calculation unit calculates a differential signal between charge signals that have been accumulated and are held by first and charge holding units with different timings. A multiple sampling unit performs multiple sampling processing on the differential signal, and an analog digital conversion unit converts a signal that has undergone multiple sampling processing to a digital signal. That is, multiple sampling processing is performed on a differential signal with a higher sparisty than that of an image signal.