Camouflage has long been one of the major factors to be considered in military and passive defense and it has been used in military applications in order to protect the soldiers and their equipment in modern wars. Digital camouflage, as the latest version of the camouflage pattern, has attracted the military industry’s attention. Camouflage in visible (Vis) region of the electromagnetic spectrum, is one of the camouflage methods and its aim is to hide the camouflaged object from the vision of the human or devices worked in visible region. The purpose of this present research is the development of the patterns with optimized colors in Vis region by the application of the color reduction algorithm and a characterized digital camera. The target area for the extraction of the pattern was considered the jungle area of Isfahan. Therefore, many images were captured from the jungle areas of the Isfahan and four of them were considered as the representation of them. The digital camera was characterized by a multiple regression and an alternating least squares techniques, using a custom-made color chart and a color checker DC. Also, the digital camera was characterized by the srgb2lab function of the image processing toolbox of the MATLAB program. Then, the representative colors of each of the images were extracted in CIELAB color space and by the application of the combined Kohonen neural network and k-means clustering techniques. A reference digital pattern was also considered and its image was captured by the digital camera and the representative colors were allocated to the area of this reference pattern on the basis of the nearest color. By this method, four camouflaged patterns were made. In order to evaluate the performance of the characterization techniques, a photo simulation method was applied using a characterized LaCie 320 display. In photo simulation technique, each of the captured images of Isfahan jungles were considered as the background, individually and the camouflaged patterns were randomly displayed on five different predetermined areas of the backgrounds. 30 observers, whose normal vision was tested by Ishihara method, evaluated the performance of the different characterization techniques on the basis of the detection time. It was concluded that the Kohonen-kmeans color reduction technique performed well. It was also concluded that the srgb2lab characterization method was performed excellently. However, the multiple regression or alternating least squares technique using either color checker DC or custom-made chart were performed inferior in comparison to the reference pattern. Keywords: digital camouflage, color reduction, characterization, natural scene, nonuniform illumination.