Howtosignalprocessing
- What is convolution and deconvolution in image processing?
- Can you Deconvolve an image?
- What is deconvolution used for?
- What's the meaning of deconvolution?
What is convolution and deconvolution in image processing?
In mathematics, deconvolution is the operation inverse to convolution. Both operations are used in signal processing and image processing. For example, it may be possible to recover the original signal after a filter (convolution) by using a deconvolution method with a certain degree of accuracy.
Can you Deconvolve an image?
Nearly any image acquired on a digital fluorescence microscope can be deconvolved, and several new applications are being developed that apply deconvolution techniques to transmitted light images collected under a variety of contrast enhancing strategies.
What is deconvolution used for?
Deconvolution is a computational method that treats the image as an estimate of the true specimen intensity and using an expression for the point spread function performs the mathematical inverse of the imaging process to obtain an improved estimate of the image intensity.
What's the meaning of deconvolution?
noun. de·convolution. "+ : simplification of a complex signal (as instrumental data) usually by removal of instrument noise.
