Image Transmission Fault Detection via Noise Pattern Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In digital image transmission, it is challenging to reliably determine whether the image transmission is successful or faulty, especially in medical imaging systems, where a frozen image can lead to serious consequences, as the quality of transmission is not visibly affected by route issues until errors occur.
Innovation Solution
Comparing noise patterns of successive images after transmission to determine successful image transmission, with optional noise signal superimposition to differentiate identical image content, using pixel-by-pixel comparison and threshold values to assess transmission accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital image transmission is used, then image quality is maintained during transmission, but it becomes difficult to detect transmission faults reliably
Solution Approach 1:
A noise signal is superimposed on the image signal before transmission, creating distinguishable noise patterns in each transmitted image. This preliminary action enables subsequent detection of transmission faults by comparing these pre-established noise patterns at the receiver side, allowing reliable fault detection while maintaining digital transmission quality.
2Stability of the object's composition
If an image buffer is used at the receiver, then image continuity is maintained during transmission issues, but frozen images cannot be distinguished from current images
Solution Approach 1:
The noise signal superimposed on each image creates a unique visual pattern (analogous to color changes) that varies from image to image. By comparing these noise patterns, the system can precisely determine whether a displayed image is current or frozen from the buffer, enabling accurate differentiation while maintaining image continuity during transmission issues.
3Productivity
If identical image content is transmitted consecutively, then transmission efficiency is improved, but fault detection becomes impossible without additional markers
Solution Approach 1:
A noise signal acts as an intermediary element that is superimposed on the image content. This intermediary carries transmission status information without interfering with the primary image data, enabling fault detection even when image content remains identical across consecutive transmissions, thus preserving both transmission efficiency and information integrity.
Data Source
AI summary
The invention pertains to a method for operating an image-processing device in which an image signal on which a noise signal is superimposed is digitally transmitted between a transmitter and at least one receiver, and in which the image signal comprises a timed sequence of images, each containing its own image content and a noise pattern of the noise signal superimposed on the image content. At least certain areas of at least two successive images of the image signal are compared to each other after the transmission, and if a difference is found between the noise patterns contained in the images, it is concluded that the images have been transmitted successfully even if the image content of the images is identical. The invention also pertains to an image-processing device for the digital transmission of an image signal on which a noise signal is superimposed.