Image Upscaling via Enlarging Parameters
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Solution Overview
Problem
The limited bandwidth in image transmission systems necessitates reducing the amount of image information transmitted without degrading the image quality, particularly in scenarios where images share similar features.
Innovation Solution
A method involving a training engine that selects and reduces training images, generates enlarging parameters based on these images, and uses them to upscale received reduced images, thereby minimizing bandwidth usage while maintaining high image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image information is transmitted at full resolution, then image quality is maintained, but bandwidth consumption increases
Solution Approach 1:
The system performs preliminary actions by selecting representative training images from the image sequence and pre-computing enlarging parameters before actual transmission. This allows the receiving device to efficiently reconstruct full-resolution images from downsampled data without transmitting all original image data, thereby reducing bandwidth while maintaining quality
Solution Approach 2:
The patent creates a simplified copy (downsampled version) of the original image for transmission, accompanied by enlarging parameters derived from training images. The receiving device uses these parameters to reconstruct a high-quality version, effectively transmitting a copy that requires less bandwidth but can be restored to full quality
2Quantity of substance
If image data is compressed to reduce transmission size, then bandwidth usage decreases, but image quality degrades
Solution Approach 1:
The system changes parameters by downsampled the training images to create enlarging parameters that capture essential structural information. These parameters are transmitted alongside compressed image data, and the receiving device uses them to guide the enlargement process, thereby recovering image quality that would otherwise be lost in compression
3Quantity of substance
If training images are processed to generate enlarging parameters, then bandwidth requirements are reduced, but system complexity increases
Solution Approach 1:
The system applies partial action by processing only selected training images from the sequence rather than all images. This selective approach generates sufficient enlarging parameters to maintain quality for subsequent images while avoiding the excessive complexity that would result from processing every image in the sequence
Data Source
AI summary
According to some embodiments, a set of images may be determined, including at least one training image and at least one image to be provided to a viewer. A reduced training image may be created based on the training image, and at least one enlarging parameter may be calculated based on a portion of the training image and a corresponding portion of the reduced training image. The enlarging parameter may then be used to facilitate an enlargement of a reduced image to be provided to the viewer.