Abstract
The ability to ease operation and real-time feedback to image editing has attracted increasing attention in our everyday lives. Existing edit propagation approaches typically formulate the color editing task as a quadratic energy optimization problem, which is computationally expensive and requires a lot of user interactions. To address this problem, in this paper, we propose a novel edit propagation method based on color palette. We first extract a color palette from the input image, and then calculate the mixing weights of the image pixels with respect to the extracted palette. Finally, we solve for an edited palette according to user edits, to propagate local edits to the whole image. Our main contributions include formulating the edit propagation as a palette-based optimization problem that can be solved efficiently, and requiring only fewer user interactions than existing methods. We have demonstrated our method for color editing on a wide range of examples. Compared to existing methods, our approach is more efficient and friendly for novice users due to its ease of interaction.
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