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Reconstruct image from divided tiles while maintaining quality and integrity for efficient handling of large images.
The Combine Tiles node is designed to seamlessly reconstruct an image from its divided tiles, ensuring that the original image's integrity and quality are maintained. This node is particularly beneficial for processes that involve breaking down an image into smaller sections for detailed processing or analysis, such as in the Divide and Conquer Algorithm. By reassembling these tiles, the node allows for efficient handling of large images, enabling you to work with manageable sections without losing the overall context. The node's primary function is to take the individual tiles, which may have been processed or modified, and combine them back into a cohesive whole, respecting the original layout and order. This capability is crucial for workflows that require high-resolution image processing, as it allows for detailed manipulation of image sections while ensuring the final output remains true to the original image's dimensions and appearance.
The context does not provide specific input parameters for the Combine Tiles node. However, based on typical functionality, it is likely that the node would require parameters such as the list of tiles to be combined, the dimensions of each tile, and possibly the overlap settings used during the initial division of the image. These parameters would help the node accurately reconstruct the image by aligning the tiles correctly and ensuring any overlaps are handled appropriately.
The context does not provide specific output parameters for the Combine Tiles node. Generally, the output would be the reconstructed image, which is the result of combining the individual tiles back into a single, unified image. This output would be crucial for further processing or for final display, as it represents the complete image after any tile-based modifications have been applied.
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