Once color balancing has been performed, there may be new pixel values in the raster. The statistics required by the balance method and color surface type, if applicable, will be derived from this target image. It can be a raster dataset, a mosaic dataset, or an image service. The raster that will be used as a target to color balance the image collection. The result is similar to that of Color grid.

All input pixels are altered toward multiple points obtained from the cubic surface.

This technique tends to create a smoother color change and uses less storage in the auxiliary table, but it may take longer to process compared to the color grid surface. Third order-A color surface will be represented as a third order polynomial.This method produces an intermediate result between that of Single color and Color grid. All input pixels are altered toward a set of multiple points obtained from the two-dimensional polynomial parabolic surface. Second order-A color surface will be represented as a second order polynomial.The result is similar to that of Single color. All pixels may be altered toward many points obtained from the two-dimensional polynomial slanted plane. This technique tends to create smoother color changes and uses less storage in the auxiliary table, but it may take longer to process compared to the color grid surface. First order-A color surface (a slanted plane) will be represented as a first order polynomial.This technique is appropriate when you have a large number of images or areas with a large number of diverse ground objects. Color grid-Pixels will be altered toward a grid of color points that are distributed across the image collection.If there are too many rasters or there are too many types of ground surface features, the output color may become blurred. This technique is appropriate when there are only a small number of images and a few types of ground objects. Single color-All the pixels will be altered toward a single color point, which is the average of all pixels.If the Dodging balance method is used, each pixel needs a target color, which is determined by the surface type. This technique works best when all of the images to be color balanced have normal distributions. Standard deviation-Image pixel value will be adjusted by matching the histogram within one standard deviation between each image and the entire image collection or the target raster if specified.This technique works well when all of the images to be color balanced have a similar histogram. Histogram-Image pixel value will be adjusted by matching the histogram of each image to the histogram of the entire image collection or the histogram of the external target raster if specified.The color surface can be calculated from the input image collection with the specified color surface type or from an external target raster. Dodging-Image pixel values will be adjusted toward a target color surface using a dodging window and the corresponding gamma function established from the local statistics of the window and the target color surface.Specifies the color balancing algorithm that will be used. The selected images will be used in seamline building, color balancing, and output mosaic operation. It is used to find an optimum set of images that can be used when mosaicking images. Thereby, we make the desired main picture as clear as possible.The Select Mosaic Candidates parameter is typically used for image collection with dense overlaps such as drones. In the final step in the creation of a photo mosaic, a slight tint is applied to the individual images. In addition, bad distributions of images can appear in areas where you might not expect them. So, please do not upload the same image twice or more.

To create a truly breathtaking picture mosaic, it is important that a photo does not appear next to an identical photo. For example, the way that images are reused. Furthermore, there are many additional factors that influence the final result. We position each individual image where it fits best to create a picture out of pictures. That this is not an authentic photo mosaic like those that we create. These imitations are simply photo collages with the main image as a transparent layer on top – very ugly. To create a truly authentic photo mosaic, you need to have certain skills.

Photo mosaic printing