Image Restoration
Most of the people are not aware of the difference between image restoration and image enhancement. Although sometimes both these terms are used interchangeably, they are different from each other. Image enhancement is to emphasize on the good features of the concerned image which makes it more ‘viewable’ for the observers. After image enhancement has been done, the image may not be depict the truth or remain as a fact or present a realistic picture. On the other hand, image restoration means to recover or restore original image from the distorted or degraded one. Image restoration doesn’t tamper with the originality of the image but only tries to make the image clearer.
There are many image enhancement techniques in use today. Contrast Stretching, de-blurring etc. are the techniques which are generally used for Image enhancement. Image enhancement process includes clearing out the noise in the image which requires a certain compromise on the resolution. But sacrifice of the resolution is not accepted in most of the cases. There are many image restoration techniques available. But image restoration is a difficult process and requires advanced processing techniques which are a must for a proper image recovery. DeConvolution is one of the well known techniques. DeConvolution method achieves the flowing objectives:
• Helps in increasing resolution, with more emphasis on the axial direction • Removing the noise from the image • Increase the contrast of the image The prime objectives of image restoration are to reduce the noise and increase the resolution at the same time. Both these objectives are met by the optical equipment namely, confocal (two-photon excitation microscope). But this instrument is very expensive. Increasing the resolution with the help of software increases the speed of the process and at the same time decreases the cost to a great extent.
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