One-Dimensional Feature Enhancement for Optical Mice
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Solution Overview
Problem
Conventional image enhancement techniques for optical mice rely on costly and power-intensive two-dimensional computations, which are inefficient and complicate the integrated circuit design.
Innovation Solution
A method for one-dimensional feature enhancement that identifies and adjusts peak digital values in a chosen dimension of the image, such as illumination or chrominance, using a CMOS photosensing array and logical operation circuit to enhance image features by adding or subtracting an offset computed from the difference between peaks and nearby pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two-dimensional computation is used for image enhancement, then image features can be enhanced effectively, but computational cost and power consumption increase significantly
Solution Approach 1:
The patent divides the two-dimensional image enhancement problem into separate one-dimensional operations. Instead of processing the entire image matrix simultaneously, it processes rows or columns independently, segmenting the computational workload to reduce overall complexity and power consumption while maintaining enhancement effectiveness.
Solution Approach 2:
The patent transforms the two-dimensional image enhancement computation into one-dimensional computations by operating on rows or columns separately. This dimensional reduction simplifies the computational burden and lowers power consumption while still achieving effective feature enhancement through the one-dimensional peak detection and adjustment operations.
2Measurement precision
If two-dimensional computation is used for image enhancement, then image features can be enhanced effectively, but integrated circuit cost and complexity increase
Solution Approach 1:
The patent segments the two-dimensional image processing into independent one-dimensional operations on rows or columns. This segmentation reduces the computational graph complexity and allows for simpler integrated circuit implementations with fewer resources required for peak detection and adjustment operations.
Solution Approach 2:
By converting two-dimensional computation into one-dimensional operations, the patent reduces the computational dimensionality required in the integrated circuit. This leads to simpler circuit architecture with reduced logic complexity while maintaining the ability to enhance image features effectively through peak detection and offset adjustment.
3Measurement precision
If two-dimensional computation is used for image enhancement, then comprehensive feature correction is achieved, but processing time increases
Solution Approach 1:
The patent segments the image processing into independent one-dimensional operations on rows or columns, allowing parallel processing of different image regions. This segmentation enables simultaneous processing of multiple image components, reducing total processing time while maintaining comprehensive feature correction through systematic one-dimensional peak adjustment.
Solution Approach 2:
By reducing two-dimensional computation to one-dimensional operations, the patent decreases the computational complexity and processing time. The one-dimensional peak detection and adjustment can be performed more quickly and with less computational overhead, enabling faster image enhancement while still achieving comprehensive feature correction.
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
This approach simplifies image enhancement, reduces computational costs and power consumption, and enhances image features by increasing the contrast between peaks and other pixels, thereby improving image clarity without the need for complex two-dimensional processing.
Implementation Method 1
An optical mouse typically has a logical operation circuit and a Complementary Metal Oxide Semiconductor (CMOS) photosensing array comprising photo detectors. The CMOS photosensing array sequentially captures images of the area in which optical mouse moves and generates digital signals representing the captured image.
Data Source
AI summary
A method and device of feature enhancement for digital image processing. A predefined feature in one dimension of the image is searched to obtain several peaks, and each peak is either a local maximum or local minimum. Each peak is enhanced by adding an offset to increase the local maximum or decrease the local minimum. The offset of each peak is computed by calculating the difference between each peak and the preceding peak, then multiplying by a preset ratio.