1. An apparatus for acquiring an image based on expertise, the apparatus comprising: a storage unit to store expertise-based representative images representing a plurality of image acquisition environments and to store parameters corresponding to the expertise-based representative images, wherein the expertise-based representative images are stored in the storage unit prior to image acquisition; an image classification unit to classify an input image based on a difference between a first probability of the input image being a night view image and a second probability of the input image not being the night view image, and to select an expertise-based representative image from the storage unit based on a result of the classification; a parameter extraction unit to extract parameters corresponding to the selected expertise-based representative image from the storage unit; and a control unit to control the apparatus according to the extracted parameters, wherein the selecting comprises comparing the input image with the stored expertise-based representative images, and selecting a respective expertise-based representative image having the highest similarity to the input image, wherein the image classification unit comprises a luminance-based classification unit classifying the input image based on luminance and a spatial luminance-based classification unit classifying the input image based on local distribution probability.