Image Quality Measurement via Test Image Synchronization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies lack a method to effectively measure the quality of images received through communication networks, which is essential for terminal manufacturers and mobile communication providers to ensure desirable image quality and optimize network performance.
Innovation Solution
An apparatus and method that synchronizes a test image received via a communication network with a reference image, using a Mean Opinion Score (MOS) measurement unit to calculate and compare the quality, involving an interface unit for receiving images, a codec unit for decoding, and a test image detection unit for analyzing brightness, saturation, and hue information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image quality measurement is implemented via communication networks, then network performance can be optimized, but no reliable measurement method currently exists
Solution Approach 1:
The patent introduces a synchronization image as an intermediary element between the test image and the measurement process. This synchronization image serves as a mediator that enables accurate alignment and comparison between the received test image and the reference image, thereby solving the difficulty of reliable image quality measurement through communication networks
Solution Approach 2:
The patent replaces manual or complex measurement processes with automated image processing techniques. By using digital image comparison algorithms and automatic synchronization mechanisms, the system substitutes complex manual measurement procedures with computational methods, making image quality measurement reliable and accessible
2Measurement precision
If test images are synchronized with reference images for quality comparison, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent segments the image quality measurement process into distinct functional modules: interface unit for receiving images, codec unit for decoding, test image detection unit for analyzing brightness/saturation/hue, and MOS measurement unit for final quality assessment. This segmentation reduces overall system complexity by making each module independent and easier to implement
Solution Approach 2:
The patent transforms image quality measurement into a parameter-based comparison system. By converting images into measurable parameters (brightness, saturation, hue values) and using these parameters for synchronization and quality assessment, the system achieves precise measurement while keeping the implementation straightforward through mathematical operations
Data Source
AI summary
Disclosed herein are an apparatus and method for measuring quality of an image received via a communication network. The apparatus includes an interface unit, a codec unit, a test image detection unit, and a Mean Opinion Score (MOS) measurement unit. The interface unit receives an image, including a start synchronization image and a test image via a communication network. The codec unit decodes the received image into a color signal. The test image detection unit detects any one value of brightness, saturation and hue information of the color signal input from the codec unit, calculates an average value for each frame, and detects the test image from the received image based on the calculated average value. The MOS measurement unit synchronizes the test image with a corresponding reference image, compares the quality of the test image with the quality of the reference image, calculates an MOS value based on the results of the comparison, and outputs the MOS value.