Images Of Same Object Research Articles

Implementation and analysis of template matching for image registration on DevKit-8500D

Image registration is a fundamental task in image processing used to match two different images of same object acquired under different situations and at different times. Implementation of image registration can be intensity value based or feature based. Implementing intensity based image registration technique with reduced time delay on embedded platform DevKit-8500D is presented in this paper. DevKit-8500D is used due to its compatibility for higher programming language such as C/C++ and hardware availability of on-board DSP making it adequate for image and video processing. Template matching on resized images by computation of cross-correlation is used for registration purpose to reduce the computational delay of whole process. A comparison between normal and resized images is also presented to show errors produced in results due to resizing operation and to emphasize on reduced amount of time-delay.

Implementation and Comparison of different Transform Techniques using Kekre's Wavelet Transform for Image Fusion

fusion combines several images of same object or scene so that the final output image contains more information. In this paper many advanced pixel level fusion techniques like Kekre's wavelet transform, DCT Kekre's wavelet transform, Hadamard Kekre's wavelet transform, Walsh Kekre's wavelet transform techniques for image fusion are proposed and compared. These methods have main advantage that they can be used for images whose sizes are not necessarily integer power of 2.