Survey on Image Enhancement Techniques

Abstract

Enhancement is one of the challenging factors in image processing. The objective of enhancement is to improve the structural appearance of an image without any degradation in the input image. The enhancement techniques make the identification of key features easier by removing noise and other artifacts in an image. This paper analyzes the performance of various enhancement techniques based on noise ratio, time delay and quality. It also suggest suitable algorithm for remote sensing images based on the analysis.

RGB Color Cube-Based Histogram Specification for Hue-Preserving Color Image Enhancement

“…Saleem and Razak also surveyed color image enhancement techniques using spatial filtering [4]. Suganya et al analyzed the performance of various enhancement techniques based on noise ratio, time delay and quality [5].…”

Comparative Analysis of Image Enhancement Techniques

“…This paper mainly focuses on basic techniques that are realistic and radically symmetric for enhancing an image. As given in very famous book for image processing [1],and other already publish papers [17], [18], [19], [20] it is analy zed that image enhancement is a co mpulsory phase of preproce ssing of an image. Image enhancement techniques are classified mainly in two categories spatial domain techniques and frequency domain techniques.…”

“…The form of a Gaussian low pass filter in 2D is given by : (17) where is the distance from the orig in in the frequency plane. The parameter measures the spread or dispersion of the Gaussian curve.…”

Abnormalities in Ultrasonic (C-Scan) Images of Composite Structures: Impact Damaged Versus Hole Damaged

“…Thresholding selection techniques can be classified into two categories: bi-level and multi-level. A variety of thresholding approaches exist for image segmentation, ranging from conventional methods to intelligent techniques (Ma and Liu, 2016;Iskandarani, 2017;Suganya et al, 2013;Jung et al, 2017;Geng et al, 2015;Santhi and Wahida Banu, 2015). The interaction between the ultrasound wave and defects within the tested structure is a function of the defect size, defect orientation and propagation mode among other factors A material boundary constitutes a change in the acoustic impedance.…”