This software seamlessly stitches together images of a scene taken in overlapping views. This is achieved in two
steps:
1) Image spatial alignment
2) Image intensity blending
Image spatial alignment is basically image registration, the only difference being that the amount of overlap
between the images to be registered may not be large. Typically, there will be about 20 to 30 percent overlap
between adjacent images. Larger overlaps simplify the registration process while smaller overlaps complicate the
process. If overlap between images is not sufficiently large, user interaction will be needed to align the images.
Image intensity blending is the process of finding intensities in the output from the weighted sum of intensities in
the input. If corresponding pixels in the images do not have intensity differences, the intensity of one or the other
image at the overlap area may be taken as the intensity of the output. This, however, is rare and often the images to
be registered have intensity differences due to various factors, such as change in sun angle, change in view angle of
the camera, and change in scene lighting due to cloud cover. Therefore, there often is a need to smoothly blend
intensities in the overlap area between two images so that there will be a smooth transition from one image to another
when the images are mosaicked. The weights are set inversely proportional to the distances of a pixel in the overlap
area to the closest border pixels in the two images and the weights are assigned such that their sum becomes equal
to one everywhere in the overlap area. Examples of image blending in this manner are given below.
steps:
1) Image spatial alignment
2) Image intensity blending
Image spatial alignment is basically image registration, the only difference being that the amount of overlap
between the images to be registered may not be large. Typically, there will be about 20 to 30 percent overlap
between adjacent images. Larger overlaps simplify the registration process while smaller overlaps complicate the
process. If overlap between images is not sufficiently large, user interaction will be needed to align the images.
Image intensity blending is the process of finding intensities in the output from the weighted sum of intensities in
the input. If corresponding pixels in the images do not have intensity differences, the intensity of one or the other
image at the overlap area may be taken as the intensity of the output. This, however, is rare and often the images to
be registered have intensity differences due to various factors, such as change in sun angle, change in view angle of
the camera, and change in scene lighting due to cloud cover. Therefore, there often is a need to smoothly blend
intensities in the overlap area between two images so that there will be a smooth transition from one image to another
when the images are mosaicked. The weights are set inversely proportional to the distances of a pixel in the overlap
area to the closest border pixels in the two images and the weights are assigned such that their sum becomes equal
to one everywhere in the overlap area. Examples of image blending in this manner are given below.
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Fig. 1. (a), (b) Two views of a Yellowstone National park area taken with a digital camera. (c) The mosaic constructed
from the images with this software. The overlap area between adjacent images was used to register the images. The
intensities (colors) in the overlap areas are blended to create the mosaic.
from the images with this software. The overlap area between adjacent images was used to register the images. The
intensities (colors) in the overlap areas are blended to create the mosaic.
| Fig. 2. (a), (b) Two aerial views of Honolulu, Hawaii. (c) Image created by mosaicking the two images. |
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| Fig. 4. (a) - (b) Three images of King Iolani Palace. (d) Image created by mosaicking the three images. |
| To obtain a license for this mosaicking software, please follow the link => |
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| Fig. 3. (a) - (c) Three images of a tropical tree. (d) Image created by mosaicking the three images. |
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| Semi-auto nonrigid image mosaicking |
| Image Registration and Fusion Systems |