Contrast enhancement can reveal the information of the under-exposed regions in an image. Lowlight images are not well exposed to human observation and computer vision algorithms due to their low visibility. Although, many contrast enhancement techniques have been proposed including histogram-based and power-law based, those algorithms inevitably introduce contrast under-enhancement and over-enhancement. The definition of a good enhancement result is still not well-defined. We have noticed that the image that only differs in exposures can be used as reference for enhancement algorithms. The enhancement result should keep the well-exposed regions unchanged and enhance the underexposed regions. Exposure fusion algorithm is one of the image contrast enhancement algorithms that provides an accurate contrast enhancement that can obtain the result with less contrast, less lightness distortion and more visual appealing image