Abstract
Image enhancement is the process of altering the appearance of an image for improved visibility of features of interest or to facilitate subsequent image analysis such as the measurement or classification of objects. While the visibility of selected features can be improved, the inherent information content cannot be increased. The design of an image enhancement algorithm should consider both the specific features of interest and the imaging process itself. In microscope imaging, the images are often acquired at different focal planes, different time intervals, and in different spectral channels. The design of an enhancement algorithm should take full advantage of this multidimensional information. Image enhancement can be done in the spatial domain by manipulating the gray scale globally or in local neighborhoods of pixels. It can be done in a transform domain by manipulating transform coefficients. Fourier transform domain methods include low-pass, band-pass, and high-pass filtering, deconvolution, and Wiener filtering. Wavelet transform methods include coefficient thresholding and multiscale procedures. Methods used to enhance grayscale images are easily generalized to operate on color images.
Published Version
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