Abstract
In this paper, we introduce a ghost-free High Dynamic Range imaging algorithm for obtaining ghost-free high dynamicrange (HDR) images. The multiple image fusion based HDR method work only on condition that there is no movement ofcamera and object when capturing multiple, differently exposed low dynamic range (LDR) images. The proposed algorithmmakes three LDR images from a single input image to remove such an unrealistic condition. For this purpose a histogramseparation method is proposed in the algorithm for generating three LDR images by stretching each separated histogram.An edge-preserving denoising technique is also proposed in the algorithm to suppress the noise that is amplified in thestretching process. In the proposed algorithm final HDR image free from ghost artifacts in dynamic environment because itself-generates three LDR images from a single input image. Therefore, the proposed algorithm can be use in mobilephone camera and a consumer compact camera to provide the ghost artifacts free HDR images in the form of either inbuiltor post-processing software application.
Highlights
Real world scenes capturing becomes easy for non-experts since high-quality imaging devices are increase in consumer electronics market
Since all the methods introduce above generate an high dynamic range (HDR) image using multiple low dynamic range (LDR) images, so they cannot be applied to limited memory mobile imaging devices
We proposed single image-based ghost-free HDR imaging algorithm using histogram separation method and edge preserving denoising technique
Summary
Real world scenes capturing becomes easy for non-experts since high-quality imaging devices are increase in consumer electronics market. Whereas the multiple image-based methods can successfully provide HDR images in the static scene, ghost artifacts are often generated when the scene contains moving objects It is even more difficult for mobile camera with limited computational power to acquire motion-free multiple images. For this reason, consumer mobile imaging devices needed single image based HDR algorithm. Since all the methods introduce above generate an HDR image using multiple LDR images, so they cannot be applied to limited memory mobile imaging devices These multiple image-based HDR method require high computational complexity and long processing time in image registration and fusion steps, which makes consumer applications impossible. W e present the proposed method, results analysis and conclude the paper
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