A Learning-to-Rank Approach for Image Color Enhancement
We present a machine-learned ranking approach for automatically enhancing the color of a photograph. Unlike previous techniques that train on pairs of images before and after adjustment by a human user, our method takes into account the intermediate steps taken in the enhancement process, which provide detailed information on the person's color preferences. To make use of this data, we formulate the color enhancement task as a learning-to-rank problem in which ordered pairs of images are used for training, and then various color enhancements of a novel input image can be evaluated from their corresponding rank values. From the parallels between the decision tree structures we use for ranking and the decisions made by a human during the editing process, we posit that breaking a full enhancement sequence into individual steps can facilitate training. Our experiments show that this approach compares well to existing methods for automatic color enhancement.
Code (0)
등록된 구현이 없습니다.
Tasks
Learning-To-RankSimilar Papers 제목 키워드 기반
Depth Enhancement via Low-rank Matrix Completion
Depth captured by consumer RGB-D cameras is often noisy and misses values at some pixels, especially around object boundaries. Most existing methods complete the missing depth values guided by the corresponding color ima…
Low-Rank Matrix CompletionMatrix CompletionA Novel Color Image Enhancement Method by the Transformation of Color Images to 2-D Grayscale Images
A novel method of color image enhancement is proposed, in which three or four color channels of the image are transformed to one channel 2-D grayscale image. This paper describes different models of such transformations …
Image EnhancementModified Alpha-Rooting Color Image Enhancement Method On The Two-Side 2-D Quaternion Discrete Fourier Transform And The 2-D Discrete Fourier Transform
Color in an image is resolved into 3 or 4 color components and 2-Dimages of these components are stored in separate channels. Most of the color image enhancement algorithms are applied channel-by-channel on each image. B…
Image EnhancementAlpha-rooting color image enhancement method by two-side 2-D quaternion discrete Fourier transform followed by spatial transformation
In this paper a quaternion approach of enhancement method is proposed in which color in the image is considered as a single entity. This new method is referred as the alpha-rooting method of color image enhancement by th…
Image EnhancementDeep Color Consistent Network for Low-Light Image Enhancement
Low-light image enhancement focus on refining the illumination and keep naturalness to obtain the normal-light image. Current low-light image enhancement methods can well improve the illumination. However, there is s…
Image EnhancementLow-Light Image Enhancement