Image processing involves processing images in a desired manner by obtaining an image in a readable format from sources like the Internet. The digital image can then be optimized for the intended application by enhancing or altering structures within it based on factors like the body part, diagnostic task, or viewing preferences. Some examples of image processing include enhancing images to make them more useful or pleasing, restoring images by removing things like blurriness or grid lines, and decompressing compressed image data or reconstructing image slices from scans.

2. Image processing involves processing
or altering an existing image in a desired
manner.
The next step is obtaining an image in
a readable format.
The Internet and other sources provide
countless images in standard formats.

3. Since the digital image is “invisible” it must be prepared
for viewing on one or more output device (laser
printer,monitor,etc)
The digital image can be optimized for the application by
enhancing or altering the appearance of structures within
it (based on: body part, diagnostic task, viewing
preferences,etc)
It might be possible to analyze the image in the
computer and provide cues to the radiologists to help
detect important/suspicious structures (e.g.: Computed
Aided Diagnosis, CAD)

4. Scientific instruments commonly produce
images to communicate results to the
operator, rather than generating an audible
tone or emitting a smell.
Space missions to other planets and Comet
Halley always include cameras as major
components, and we judge the success of those
missions by the quality of the images returned.

6. Image-to-information
transformations
Image-to-image
transformations
Information-to-image
transformations

8. Enhancement (make image more useful, pleasing)
Restoration
Egg. deblurring ,grid line removal
Geometry
(scaling, Zooming, Morphing one object to
another).

9. Decompression of compressed image data.
Reconstruction of image slices from CT or
MRI raw data.
Computer graphics, animations and virtual
reality (synthetic objects).

11. Clustering….
Similar data points grouped together into clusters.

12. Segmented with 4 clusters
Original Image
Segmented with 6 clusters

13. Original Image 2 clusters
4 Clusters 6 Clusters

15. Document Imaging

16. Signature Verification

17. Biometrics

18. Interpretation of Aerial
Photography

19. Fingerprint Identification
Research at UNR
Minutiae Matching
DelaunayTriangulation

20. Face Detection

21. Face Recognition

22. Astronomy Applications
Research at UNR

23. In electrical engineering and computer
science, image processing is any form of
signal processing for which the input is
an image, such as photographs or
frames of video; the output of image
processing can be either an image or a
set of characteristics or parameters
related to the image. Most image-
processing techniques involve treating
the image as a two-dimensional signal
and applying standard signal-processing
techniques to it.