Ruifeng Xu, and Sumanta N. Pattanaik
University of Central Florida
Department of Computer Science
Keywords: Level set method, sigmoid function, high dynamic range image display.
This paper presents a novel solution to the High Dynamic Range (HDR) image
compression problem using level set framework. Using level set framework, this
method separates the HDR image into detail and profile. Then it uses a global
tone mapping function to compress the profile. Finally it produces a low dynamic
range version of the image for display by adding the details to the compressed
profile. This method is capable of compressing the dynamic range while retaining
the detail in the final image of various HDR images in a short time.
We presented a High Dynamic Range image display method based on extraction of detail using level set method and the range compression function-Sigmoid funciton. The results are better than the application of a single range compression function on the whole image. The range compression function compresses the detail in the plateau area. However, our method avoids this problem by compressing the range in the profile image and restoring the previously extracted detail. Our method is faster than the local adaptation based approachs. Our approach can be applied to most HDR images and obtain desirable results in one or two minutes.