Introduction One of the most important pre-processing steps in optical coherence tomography (OCT) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of OCT images. Materials and Methods The present study focused on speckle noise reduction and edge detection techniques. Statistical filters with different masks and noise variances were applied on ...

In this thesis we have developed an improved framework for advanced feature detection algorithms in automatic fingerprint recognition systems. We have studied the factors relating to obtaining high performance feature points detection algorithm, such as image quality, segmentation, image enhancement, feature detection, feature verification and filtering. Fingerprint image quality is an importan...

Image pre-processing techniques are used to improve the quality of an image before processing into an application. This uses a small neighborhood of a pixel in an input image to get a new brightness value in the output image. These preprocessing techniques are also called as filtration and resolution enhancement. The medical image quality parameters are mainly noise and resolution. The main obj...

Image enhancement plays a vital role in digital image processing. It is a technique used for the adjustment of digital images. It is one of the important vision applications because it has capability to enhance the visibility of images. It is used to improve the quality of poor pictures. For improving the quality of the digital images distinctive procedures have been proposed so far. Image Enha...

This paper presents a method of image enhancement using an adaptive thresholding method based on the human visual system. We utilize a number of different enhancement algorithms applied selectively to the different regions of an image to achieve a better overall enhancement than applying a single technique globally. The presented method is useful for images that contain various regions of impro...

Image Enhancement is a commonly used approach for de-blurring the image. In general, image enhancement is to increase the contrast and remove noise so that the processed image is more suitable for special applications. There are two approaches for this – linear and nonlinear. Each method has its own advantages and disadvantages. But studies over the years showed that real applications use both ...

Images are replications of real-world objects. Image enhancement is the method of applying certain changes to an input image. The changes require feedback from a human evaluator of the output resulting image. The target of image enhancement is to improve the quality of the image so that the resultant image is better than the original image. In this paper remote sensing images has been used. Tra...