Yan-Tsung Peng

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In this paper, a power-saving method for emissive display by shrinking histogram is proposed. Based on a modern pixel-level power model of an OLED module, the power consumption factor can be employed in the objective function. Nevertheless, contrast enhancement intrinsically contradicts saving power. In order to solve this problem, we formulate a new(More)
In this paper, we propose to use image blurriness to estimate the depth map for underwater image enhancement. It is based on the observation that objects farther from the camera are more blurry for underwater images. Adopting image blurriness with the image formation model (IFM), we can estimate the distance between scene points and the camera and thereby(More)
Histogram equalization (HE) is widely used in image contrast enhancement. It basically equalizes the image histogram to improve the contrast of the input image. In this paper, we propose a Sub-Image Edge Preservation (SIEP) method applied to HE-based contrast enhancement algorithms to further preserve edges in the histogram-equalized images and enhance(More)
In this paper, we restore images degraded by scattering and absorption such as hazy, sandstorm, and underwater images. By calculating the difference between the observed intensity and the ambient light in a degraded image scene, which we call the scene ambient light differential, we estimate the transmission map. In the restoration process, we first enhance(More)
Underwater images often suffer from color distortion and low contrast, because light is scattered and absorbed when traveling through water. Such images with different color tones can be shot in various lighting conditions, making restoration and enhancement difficult. We propose a depth estimation method for underwater scenes based on image blurriness and(More)
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