From Event: SPIE Optical Engineering + Applications, 2017
Digital zooming especially on microscopy image has attempted to improve their quality of measurement into a better assessment. However, since the field of view of high-resolution image are not wide despite of the fact that high-resolution image has more information detail and low-resolution image has their merits which is bring a big picture of the whole structure, we need to observe the sample in any scale. This problem was been solved by developing dual-view of high and low images resolution1 but in a single interpolated images. The goal of this research is utilize multi-resolution images to develop smooth zooming magnification of microscopy image. In order to achieve smooth zooming magnification on different condition of the images, scheme process will be needed. First, we took a several spatial images of the same sample based on the different objective lens, author was used 4 objective lens which are 10×, 20×, 50× and 150× magnification. In this synthesize phase, we interpolate lower resolution image for synthesize purpose with the next higher resolution image of the sample. Second, continue to looking for the feature point of both images with SIFT feature point method until we synthesize both images. Third, author treat this synthesized image with discrete fourier transform (DFT) with low-pass filter as the same size with numerical aperture (NA) that was input on the first phase. Then the fourth phase is looping this processes until intermediate images are generated enough to be blend with pyramid blend method. In this article we also try to make a system that can arbitrarily generate intermediate image with hierarchical system.
Evan H. E. Putranto, Tomohiro Suzuki, Shin Usuki, and Kenjiro T. Miura, "Forming intermediate spatial resolution of microscopy images for continuous zooming on multi-resolution processing system," Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039615 (Presented at SPIE Optical Engineering + Applications: August 09, 2017; Published: 19 September 2017); https://doi.org/10.1117/12.2273559.
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