Abstract: A method of obtaining variance data or standard deviation data for efficiently reducing noise in an image is provided. The method includes (a) dividing an image into a plurality of clusters; (b) checking frequency data of data values of pixels included in each cluster; (c) obtaining a weighted average of the data values of the pixels included in each cluster; (d) obtaining a variance or a standard deviation of the data values of the pixels included in each cluster by using the weighted average; and (e) obtaining variance data or standard deviation data in accordance with weighted averages by using the weighted average and the variance or the standard deviation in each cluster. A digital photographing apparatus is also provided that includes a recording medium storing variance data or standard deviation data for efficiently reducing noise in an image which is obtained in accordance with the above method.

Abstract: A method and apparatus remove color noise of an image signal in which a distortion of a YCbCr color space caused by noise is corrected using correlations between color channels in the YCbCr color space of low frequency (LF) and high frequency (HF) components of an image signal while maintaining the HF component. The apparatus includes: a separator separating the image signal including a luminance signal and a chrominance signal into an LF component and an HF component; an LF noise remover removing noise of the LF component from the image signal; an HF noise remover applying a linear variation rate of the chrominance signal with regard to the luminance signal of the noiseless LF component to the HF component separated from the image signal and generating a new HF component; and a combiner combining the noiseless LF component and the new HF component.

Abstract: A digital photographing apparatus, a method of controlling the digital photographing apparatus, and a recording medium having recorded thereon a program for executing the method are provided. The digital photographing apparatus includes: a data obtainer that obtains long exposure first data about a first image of a subject and short exposure second data about a second image of the subject; a third data generator that generates third data about a third image by warping the first data so that the subject of the first image and the subject of the second image match each other; and a second data amender which, when a predetermined condition is satisfied, amends the second data so that the second data value S(x, y) at the pixel (x, y) of the second image has the third data value W(x, y) at the pixel (x, y) of the third image.