逼真显著性引导图像增强

摘要

專業攝影師常進行的常見編輯操作包括清理操作：減弱分散注意力的元素並增強主題。這些編輯具有挑戰性，需要在操控觀眾注意力與保持照片寫實之間取得微妙平衡。儘管最近的方法可以引以為傲地展示成功的注意力減弱或增強示例，但大多數也常常出現不現實的編輯。我們提出了一種針對显著性引导的圖像增強的寫實損失，以在各種圖像類型中保持高度寫實性，同時減弱分散注意力的元素並增強感興趣的對象。與專業攝影師的評估確認，我們實現了寫實性和效果的雙重目標，並在其自有數據集上優於最近的方法，同時需要更小的內存占用和運行時間。因此，我們提供了一個可行的解決方案，用於自動化圖像增強和照片清理操作。

English

Common editing operations performed by professional photographers include the cleanup operations: de-emphasizing distracting elements and enhancing subjects. These edits are challenging, requiring a delicate balance between manipulating the viewer's attention while maintaining photo realism. While recent approaches can boast successful examples of attention attenuation or amplification, most of them also suffer from frequent unrealistic edits. We propose a realism loss for saliency-guided image enhancement to maintain high realism across varying image types, while attenuating distractors and amplifying objects of interest. Evaluations with professional photographers confirm that we achieve the dual objective of realism and effectiveness, and outperform the recent approaches on their own datasets, while requiring a smaller memory footprint and runtime. We thus offer a viable solution for automating image enhancement and photo cleanup operations.

逼真显著性引导图像增强

Realistic Saliency Guided Image Enhancement

摘要

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