Adaptive Image Edge Sharpening using Phase-only Synthesis.

Adaptive Image Sharpening Method Using Edge Sharpness

This paper proposes a new method for automatic improvement in image quality through adjusting the image sharpness. This method does not need prior knowledge about image blur. To accomplish this work, the authors developed a new method for evaluating image sharpness without MTF. This is called image "edge sharpness* value. According to the subjective experiments, optimal edge sharpness value for...

Multiscale image sharpening adaptive to edge profile

Phase Only Synthesis of Antenna Patterns Using Iterative Restoration Methods

In this work, the method of iterative Fourier transform phase reconstruction, conventionally used in holography and optical image reconstruction, is applied to phase only synthesis of antenna patterns. The method is applied to two types of pattern synthesis problems: "main lobe beam shaping" and "side-lobe-level reduction". The proposed method is most useful in the efficient employment of attai...

Recursive phase estimation for image sharpening

Sharpness maximisation is a method that can be used to correct phase errors in images. In this paper we present a new recursive method to estimate the phase correction required for maximum image sharpness using the square of image pixel intensity metric S2. This method avoids the optimisation step required by other image sharpening approaches. We also present a similar algorithm based on the so...

Image Edge Detection using Adaptive Filter

The canny edge detection technique is a multi-stage algorithm which is an optimal edge detection technique. But it removes noise in an image using Gaussian filter to become insensitive to noise. The Gaussian filter smoothes even the edges in the images so that the through put is decreased. That is some of the true edges may be missed and false edges may appear in the edge detection. We propose ...