In the paper the use of wavelet transformation for valorization of random noise content in photogrammetric images is proposed. There were two wavelets indicators studied. The first indicators based on the analysis of the wavelet detail coefficients distribution shape. As the results prove, noise conclusions based on the shape are not always objective. As the second noise indicator the analysis of changing of relative variance during decomposition was researched. Based on the studies, it has been proven that the analysis of the equation of preservation of image relative variance is a good indication of the noise level. The low noise level is proven by a stable increase of the details variance along with the level of decomposition. In case of fine-grained image texture, such increase is undisturbed. For the research a set of aerial images taken by two photogrammetric cameras, analogue LMK and digital DMC was compared. In all examined cases the better parameters of the noise evaluation were obtained for the digital camera. The researches confirmed the possibility to define the noise content indicators based on the analysis of the wavelet detail coefficients.