In this paper, we present a ghost-free high dynamic range imaging algorithm to obtain High Dynamic Range (HDR) images without ghosts. The existing HDR method based on multiple image fusion only works under the condition that there is no camera or object movement when acquiring multiple differently exposed LDR images. To overcome such an unrealistic condition, the proposed algorithm creates three LDR images from a single input image. For this purpose, a histogram separation method is proposed in the algorithm to generate three LDR images by stretching each separate histogram. An edge-preserving denoising technique is also proposed in the algorithm to remove the amplified noise during the histogram stretching process. Since the proposed algorithm automatically generates three LDR images from a single input image, ghosting artifacts resulting from the relative motion between the camera and objects during different exposure durations are removed from the HDR images. Therefore, the proposed algorithm can be applied to mobile phone camera and consumer compact camera to provide HDR images without ghosting artifacts in the form of embedded software application or post-processing . Keywords: high dynamic range imaging; HDR; LDR; Histogram stretching; Edge-preserving denoisingINTRODUCTIONAcquiring real-world scenes is becoming easier for non-experts as high-quality imaging devices are increasingly present in the consumer electronics market. Three essential factors for acquiring real-world scenes include: i) high spatial resolution, ii) faithful color reproduction, and iii) high dynamic range (HDR). The HDR imaging method has emerged in recent years and has played an important role in the digital imaging revolution [1]. While the human eye can recognize... middle of article ......themes of function optimization [D]", University of Edmonton of Alberta, 1981.[11] JNKapur, P. K Sahoo and AK C Wong, “A Novel Image Thresholding Method Using Histogram Entropy, Computer Vision, Graphics and Image Processing,” Vol. 29, no. 3, pp. 273-285, 2007.[12] RA Hummel, “Image enhancement by histogram transformation, computer graphics and image processing”, vol.6, no.2, pp.184-195, 1977.[13] S. Kim, E. Lee, V. Maik, and J. Paik, “Real-time image restoration for digital focusing in a color multi-filter aperture camera,” Optical Engineering, vol. 49, no. 4, pp. 040502(1-3), April 2010.[14] Jaehyun Im, Jaehwan Jeon, Monson H Hayes, "Single-frame-based ghost-free high dynamic range imaging using local histogram stretching and spatially adaptive denoising", Consumer Electronics, IEEE Transaction, Vol.57, pp . 1478-1484, November 2011.