Multiexposure Image Fusion Using Reference Image Selection, Detail Enhancement, and Ghost Removal

• Main Authors: Yi-Jhen Wu, 吳宜臻
• Other Authors: Jin-Jang Leou
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/71894020323645815341

碩士 === 國立中正大學 === 資訊工程研究所 === 101 === Generally speaking, image sensors usually have a limited dynamic range or bit resolution, i.e., a single image does not provide all details in a natural scene. In fact, a low dynamic range (LDR) image always contains some over-exposed or under-exposed regions. To copy this this problem, we can capture and combine a series of LDR images with different exposures, in which each LDR image only contains some part of the dynamic range and scene details. This technique can be classified into two main types: typical HDR imaging and multiexposure image fusion. The former is using camera response function to obtain an HDR image, and then tone mapping can be used to display the HDR image into the display device. The latter is using the technique of exposure fusion to combine the LDR images to an HDR image, and this technique is efficient in computation. However, in the process of the scene which is captured by the digital camera systems. It can’t guarantee there are not moving objects in the scene. In this study, solving the ghosting problem which produced by dynamic scene and acquiring an artifact-free HDR image will be proposed.