Image Signal Processing Circuit for QR Code Reading
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Solution Overview
Problem
Current camera systems require dedicated extended depth of field (EDOF) lenses and image signal processing circuits to read QR codes and other special information, which increases size and cost, and are prone to chromatic aberration when using normal lenses.
Innovation Solution
An image signal processing circuit that utilizes a processing circuit for image processing with a blue (B) signal having high resolution on the near point side and applies an inverse function of the point spread function (PSF) for enhancement processing, allowing for high-precision reading of special information using normal lenses without dedicated EDOF lenses and signal processing circuits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated EDOF lenses and EDOF image signal processing circuits are used to read QR codes, then reading precision is improved, but device size and manufacturing cost increase
Solution Approach 1:
The invention extracts only the necessary color signal (blue channel with high near-point resolution) from the full RGB signal set for EDOF processing, rather than using all color signals. This selective extraction reduces processing complexity while maintaining the ability to read QR codes at extended depths, thereby reducing device size and cost without sacrificing reading precision
Solution Approach 2:
The invention enables normal lenses to perform EDOF functionality through signal processing rather than requiring dedicated EDOF optical hardware. By applying inverse PSF processing to the blue channel signal, the system achieves extended depth of field reading capability using existing lens infrastructure, thus avoiding the need for specialized EDOF lenses and reducing overall device complexity
2Device complexity
If normal lenses are used for image capture, then device complexity is reduced, but chromatic aberration occurs degrading image quality
Solution Approach 1:
The invention applies different processing strategies to different color channels based on their specific characteristics. The blue channel is selected for EDOF processing because it has superior near-point resolution properties, while recognizing that each color channel has different optical characteristics including chromatic aberration. This localized approach processes only the most suitable channel for the specific task, maintaining image quality while using simple lenses
Solution Approach 2:
The invention changes the processing parameters by applying inverse point spread function (PSF) processing specifically to the blue color signal. This parameter-based processing approach compensates for optical imperfections including chromatic aberration effects, allowing normal lenses to produce high-quality results for QR code reading without requiring complex optical correction mechanisms
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
Enables high-precision reading of bar codes and special information like QR codes using normal lenses, eliminating the need for EDOF lenses and signal processing circuits, thereby reducing size and cost while minimizing chromatic aberration.
Implementation Method 1
an enhancement processing unit which performs enhancement processing by applying an inverse function of a point spread function (PSF) to a signal subjected to image processing using one color signal by the processing circuit
Data Source
AI summary
The present invention relates to an image signal processing circuit, an image capture device, and image signal processing method, and a program capable of reading special information, such as a bar code, using normal lenses with high precision without needing dedicated EDOF lenses and signal processing circuits. The image signal processing circuit has a processing circuit 131 which performs image processing using one color signal (B) having resolution on a near point side from among a plurality of color signals, and an enhancement processing unit 132 which performs enhancement processing by applying an inverse function of a point spread function (PSF) to a signal subjected to the image processing using the one color signal by the processing circuit.