Panorama Background Generation Using Block-Based Color-Space Comparison
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Solution Overview
Problem
Current panorama background generation methods are inadequate in handling large background motions, noise from moving foreground objects, and image misalignments, leading to poor quality and computational inefficiency, especially when dealing with real-life scenarios and small image sets.
Innovation Solution
The method involves dividing images into blocks, comparing color-space features to select background blocks, and merging them to generate a panorama background, using a preliminary background model and smoothing overlapping regions to reduce ghosting and visual distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional panorama background generation methods are used, then object tracking and surveillance functions are achieved, but image quality deteriorates due to ghosting and noise from moving foreground objects
Solution Approach 1:
The image is divided into multiple blocks, and each block is processed independently to determine whether it represents background or foreground content. This segmentation allows selective merging of only the background blocks, effectively removing ghosting caused by moving foreground objects while preserving the reliability needed for object tracking applications.
2Adaptability or versatility
If flexible approaches with tolerance to image misalignment are used, then background motion handling is improved, but computational complexity increases
Solution Approach 1:
By segmenting the image into blocks and processing each block independently with simple comparison operations, the method achieves flexibility in handling image misalignment and background motion without requiring complex transformation models. The block-based approach reduces computational complexity compared to traditional pixel-level registration methods.
Solution Approach 2:
The method performs partial action by selectively processing only the background blocks rather than the entire image. This reduces the overall computational burden while maintaining adaptability to handle misalignment and background motion in the regions that matter most for panorama quality.
3Measurement precision
If exact pixel-by-pixel comparison methods are used, then background extraction accuracy is improved, but processing speed decreases and computational cost increases
Solution Approach 1:
The image is divided into blocks, and background extraction is performed at the block level rather than pixel-by-pixel. This segmentation maintains sufficient accuracy for identifying background regions while dramatically improving processing speed and reducing computational cost compared to exact pixel-level comparison methods.
Solution Approach 2:
The method performs partial action by comparing and merging only the background blocks rather than all pixels in the image. This selective processing maintains high background extraction accuracy for the relevant regions while significantly improving overall processing efficiency and productivity.
4Extent of automation
If methods designed for object-tracking purposes are used, then foreground detection is achieved, but panorama background quality deteriorates due to lack of focus on background content quality
Solution Approach 1:
The method extracts only the background blocks from the image set, deliberately separating and excluding foreground objects. This extraction approach prioritizes background content quality by selectively merging only the stationary background portions, while still providing foreground detection capability as a byproduct of the block comparison process.
Data Source
AI summary
A method of generating a panorama background from a set of images comprises dividing each of the images into blocks and comparing color-space features of corresponding blocks of the images to select background blocks. The selected background blocks are merged to generate the panorama background. An apparatus and computer readable medium embodying a computer program for generating a panorama background are also provided.