Histogram-Based High Frequency Content Detection in Analog Images
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image display systems face challenges in accurately determining the sampling frequency of analog image signals, particularly when high frequency content is not readily identifiable or is located variably within images, leading to potential distortion or incomprehensibility of displayed images.
Innovation Solution
A method and system that create a histogram of an image to identify portions with high pixel differences, partitioning the image into bins to select regions with significant pixel variations, and using these regions to determine the sampling frequency, thereby accelerating the process and reducing memory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire image is processed to determine sampling frequency, then measurement precision is improved, but processing time increases and memory requirements increase
Solution Approach 1:
The patent extracts only the high frequency content portions from the image rather than processing the entire image. This is achieved by detecting regions with high pixel value variations and isolating them for sampling frequency analysis, thereby reducing processing time while maintaining measurement precision.
Solution Approach 2:
The patent applies local quality by focusing processing resources on specific regions of the image that contain high frequency content, rather than uniformly processing all regions. This allows efficient use of computational resources while maintaining accurate sampling frequency determination.
2Measurement precision
If the entire image is stored in memory for processing, then measurement precision is improved, but device complexity and memory requirements increase
Solution Approach 1:
The patent extracts only the necessary high frequency portions from the image for analysis, storing only these extracted regions in memory rather than the entire image. This significantly reduces memory requirements while preserving the accuracy needed for sampling frequency determination.
3Ease of operation
If linear search is used to locate high frequency content, then ease of operation is maintained, but productivity decreases
Solution Approach 1:
The patent segments the image into multiple regions or blocks and processes these segments to locate high frequency content. This segmentation approach enables faster searching compared to linear search through the entire image, while maintaining operational simplicity through systematic region-by-region analysis.
Data Source
AI summary
A system and method for determining high frequency content in an analog image source. A method comprises creating a histogram of the image, and selecting a portion of the image based on the histogram. The histogram comprises a first number of horizontal bins and a second number of vertical bins, with each bin having an associated counter for maintaining a count of pixel differences of pixels in a portion of the image corresponding to the bin that exceed a threshold. The portion of the image selected corresponds to a portion of the histogram having a high pixel difference count relative to other portions of the histogram.