Interpolation is the process of transferring image from one resolution to another without losing image quality. In Image processing field, image interpolation is very important function for doing zooming, enhancement of image, resizing any many more. Here in this paper, we have reviewed different interpolation algorithms. We have implemented all reviewed interpolation algorithms and done compar...

Fingerprints are a great source for identification of individuals. Fingerprint recognition is one of the oldest forms of biometric identification. However recognition of fingerprint is not always easy. The objective of this paper is to provide a way for fingerprint recognition using minutiae extraction. The factors relating to obtaining high performance feature point detection algorithm, such a...

In this recent period, the image processing plays a key function in different fields of engineering and Research. Perhaps to increase the effectiveness of this field, quality of an image should be enhanced to support the human sensitivity or machine visualization. The contrast of an image is defined as difference of gray levels presented in the image. There are a number of conventional methods ...

Low quality iris images such as blurry, low resolution images with poor illumination create a big challenge for iris recognition systems. We propose a new iris recognition algorithm for enhancement of normalized iris images. Our algorithm is based on the logarithmic image processing (LIP) image enhancement which is used as one of the 3 stages in the enhancement process. Results from processing ...

Degradation of underwater images is different from normal images. In underwater imaging light interact with water in two ways, scattering and absorption. The scattering and absorption together is called attenuation of light in water. This attenuation is wavelength dependent. Because of scattering and absorption, underwater images are affected by back scattering, forward scattering and absorptio...

We describe an automated edge enhancement procedure that operates in conjunction with clustereddot dithering, edge weighted unsharp masking, compound anisotropic diffusion etc. The goal is to make weak edges more noticeable and to give the strong edges in the half toned image a sharper and more natural appearance. Unsharp masking that is widely used for image enhancement amplifies image contras...

Evaluation have been done to different enhancement techniques applied to ultrasound kidney images to see which enhancement techniques is the most suitable techniques that can be applied to the kidney images before segmenting the edge of the kidney. Five common enhancement techniques have been used including the spatial domain filtering, frequency domain filtering, histogram processing, morpholo...

The drawback of using a global operator is its inability in revealing image details of local luminance variation. On the contrary, the advantage of a local operator is its capability of revealing the details of luminance level information in an image. In the image enhancement technology, we have proposed local contrast enhancement based on Adaptive Inverse Hyperbolic Tangent Algorithm (AIHT), a...

A novel technique based on dynamic stochastic resonance (DSR) in discrete cosine transform (DCT) domain has been proposed in this paper for the enhancement of dark as well as low-contrast images. In conventional DSR-based techniques, the performance of a system can be improved by addition of external noise. However, in the proposed DSR-based work, the intrinsic noise of an image has been utiliz...

This paper proposed an efficient method for contrast enhancement of real world hyper spectral images. The contrast of image is an important characteristic by which the quality of image can be judged as good or poor quality. The proposed method is consists of two stages: In first stage the poor quality of image is process by automatic contrast adjustment in spatial domain and in second stage the...