Interlace Artifact Calculation Using Pixel Field Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for calculating interlace artifacts in digital image processing fail to quantify and estimate the quality of motion pictures effectively, and are computationally inefficient.
Innovation Solution
A method and system that divide frames into fields, calculate pixel differences, identify edge pixels based on gradients, and use motion vectors to determine the interlace artifact, enabling real-time quality checking and faster computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vertical frequency detection using Discrete Fourier Transform is used to calculate interlace artifact, then the interlace artifact can be detected, but the method fails to quantify and estimate the quality of the motion picture and is computationally inefficient
Solution Approach 1:
The patent extracts only the essential information needed for interlace artifact detection by comparing specific pixel positions between fields rather than performing full spectral analysis. It extracts pixel intensity differences at corresponding positions in odd and even fields, which directly indicates interlace artifacts without requiring computationally intensive Fourier Transform operations.
Solution Approach 2:
The patent replaces the complex mathematical mechanism of Discrete Fourier Transform with a simpler pixel-based comparison mechanism. Instead of transforming the entire image to frequency domain and analyzing spectral components, it directly compares pixel intensities in spatial domain, substituting a heavy computational mechanism with a lightweight arithmetic operation.
2Loss of information
If motion between frames is calculated to estimate interlace artifact, then motion information can be obtained, but the method is incapable of quantifying the quality parameters of the motion picture
Solution Approach 1:
The patent performs preliminary field division and pixel comparison before final artifact calculation. By pre-identifying corresponding pixel positions between odd and even fields and computing their intensity differences in advance, it prepares the necessary data for accurate interlace artifact quantification without needing to perform complex motion estimation between complete frames.
3Loss of information
If motion vectors are used to detect motion of focused objects in interlaced motion picture, then motion detection is achieved, but the method does not quantify the artifacts
Solution Approach 1:
The patent segments the image into odd and even fields, then further segments each field into individual pixels for comparison. This segmentation allows it to analyze interlace artifacts at the pixel level by comparing corresponding positions between fields, providing precise artifact quantification that motion vector methods cannot achieve at such granular level.
Data Source
AI summary
A method and system for calculating an interlace artifact in image data are disclosed. A motion picture of the image data comprises a series of frames, captured at a predefined interval of time. During processing of the motion picture, the frames are divided into fields, each field comprising one or more pixels. A difference between the pixels of the fields is calculated. Thereafter, edges of the pixels are calculated in the fields. The method and system then identify the focused area in the fields. To calculate the interlace artifact in the motion picture, the displacement of the focused area is calculated by using motion vectors. The artifacts are calculated as a ratio of a number of pixels based on motion vector calculation.