The aim of image Augmentation is to improve the interpretability or perception of information in images for human viewers, or to provide `better' input for other automated image processing techniques. The aim is to improve the visual appearance of an image, or to provide a “better transform representation for future automated image processing”. This paper is about a review of histogram techniqu...

for further processing. Indeed, information enhancement, which straddles data preprocessing and data mining, often presents itself as a less glamorous but more critical step than other steps in data mining applications; a minor information enhancement adjustment could bring higher effectiveness. Therefore, information enhancement is a crucial research topic. However, much work in relevant field...

The enhancement of radiographic and fluoroscopic images using simple video analog techniques is described. In each instance, both the degree of enhancement and the features of the image to be enhanced are under the direct control of the radiologist. Noise is suppressed with a sharp cut-off, low-pass filter. Three types of analog circuits are discussed. One provides edge sharpening and contrast ...

Image enhancement is a primary need for the recognition of different biometrics in biometric-based identification systems. The recognition-rate of a biometric system depends heavily upon the quality of the input biometric given to the system. In this paper, a novel hybrid Fuzzy model (IEHFS) is proposed to improve the visual quality of iris images. The experimental results based on calculating ...

1 College of Communication Engineering, Jilin University, Changchun 130012, China ([email protected]) 2 School of Electronics and Information Engineering, Shenyang Aerospace University, Shenyang 110136, China Abstract A subspace based speech enhancement algorithm with low complexity is proposed by using our improved subspace iteration method. Due to the use of the iteration, the proposed algorithm ...

The performance of minutiae extraction algorithms and other algorithms in fingerprint recognition systems relies heavily on the quality of the input fingerprint images. Extracting features out of poor quality prints is an open problem. This paper presents different popular algorithms for fingerprint image enhancement and comparisons between them. We extended popular fingerprint enhancement base...

Underwater images are widely used in ocean resource exploration and environment surveillance. However, due to the influence of light attenuation noise, underwater usually display degradation phenomena such as blurring color deviation; an enhancement method is required make more visible. Currently, there two major approaches for image enhancement: traditional methods based on physical or non-phy...

In this paper, we propose a novel approach for single channel speech enhancement by exploiting the correlation among 2D transform coefficients, which has been previously neglected by traditional speech enhancement methods. Our approach makes use of a time-frequency representation (spectrogram) of the input signal and a novel 2D spectrogram filter (2DSF)is designed to provide a good estimate of ...

This paper presents an adaptive contrast enhancement algorithm with details preserving (ACEDP) to enhance gray-scale image. Initially, the input image is classified into low-, middleor high-level image based on the gray-level distribution of maximum number of pixels. The proposed ACEDP algorithm assigns different plateau functions for different type of image and histogram clipping is then perfo...