Multiple Color Transfer: Example-Based Photo Enhancement
Date Issued
2007
Date
2007
Author(s)
Hsieh, Chang-Hsi
DOI
en-US
Abstract
One of the most common situations in photo editing is that users want some specific effects but don’t know how to achieve them. Nevertheless, they have an image in their mind about how the photo should be, which is derived from a better photo on similar subjects, or from their imagination. With this user motivation in mind, this thesis proposes a method for altering a photo’s color based on the coloring of another exemplary photo. Users simply set the requirement by drawing some pairs of brush strokes in corresponding regions and then the tool will perform the editing automatically.
The goal of our tool is to enable the photo editor to easily alter the dissatisfied photo by referring the other acceptable photo. A suitable user interface have designed for drawing the corresponding regions between a source and one or more targets to transfer the desired color. Besides, in most general cases, users are just dissatisfied with a part of the photo, so our system allow users to edit their photo completely or partially by the same work flow, and our algorithm can preserve the satisfying or ex-editing region successfully.
In this thesis, we find the region the user expect to edit by a graph cut optimization algorithm, and we have designed a new energy function which can consider the color and positional information simultaneously in this process. Additionally, a multiple color transfer method is developed to estimate the different influence of a set of transfer functions on a pixel and accumulate the influences to alter the pixel. Moreover, a image-guide optimization is used to increase the coherence in regions and eliminate the artifacts near edges in the result.
We also display a variety application of our tool in this thesis, and Our system can produce accurate results that match users’ expectations. More importantly, the tool is very easy to learn; no photography or photo editing knowledge is required, and users don’t need to change their habit of taking photos.
The goal of our tool is to enable the photo editor to easily alter the dissatisfied photo by referring the other acceptable photo. A suitable user interface have designed for drawing the corresponding regions between a source and one or more targets to transfer the desired color. Besides, in most general cases, users are just dissatisfied with a part of the photo, so our system allow users to edit their photo completely or partially by the same work flow, and our algorithm can preserve the satisfying or ex-editing region successfully.
In this thesis, we find the region the user expect to edit by a graph cut optimization algorithm, and we have designed a new energy function which can consider the color and positional information simultaneously in this process. Additionally, a multiple color transfer method is developed to estimate the different influence of a set of transfer functions on a pixel and accumulate the influences to alter the pixel. Moreover, a image-guide optimization is used to increase the coherence in regions and eliminate the artifacts near edges in the result.
We also display a variety application of our tool in this thesis, and Our system can produce accurate results that match users’ expectations. More importantly, the tool is very easy to learn; no photography or photo editing knowledge is required, and users don’t need to change their habit of taking photos.
Subjects
色彩轉移
影像增強
互動式影像編輯
範例為基礎
圖分割
計算攝影學
影像處理
Color transfer
Image Enhancement
Interactive image editing
Exsample-based
Graph cuts
Computational photography
Image processing
Type
thesis
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