Histogram equalization is a nonlinear technique for adjusting the contrast of an image using its histogram. It increases the brightness of a gray scale image which is different from the mean brightness of the original image. There are various types of Histogram equalization techniques like Histogram Equalization, Contrast Limited Adaptive Histogram Equalization, Brightness Preserving Bi Histogr...

 Outward-oriented economies seem to grow faster than inward-looking ones. Does the literature on convergence have anything to say on this? In the dynamic Heckscher-Ohlin-Samuelson model, with factor-price equalization, there is no convergence of incomes. This is because with identical preferences and return to capital, irrespective of initial levels the growth rates of consumption are the same....

Information service equalization is an important component of public services equalization. It is one of the vital conditions for achieving information service equalization to eliminate poverty, promote economic development and build a harmonious society. Academic library is an important component of social information system, and it is the base of university and social infomationization. There...

Abstract: This study considered a receiver equalization problem in wireless communication area. Receiver equalizations in OFDM proceeding through sub-carriers variedness in frequency guarantee transmit system bit error rate thus are essential. E.g., Zero-Forcing (ZF) equalization, Minimal Mean Square Equalization (MMSE), which can also be considered as channel Estimation (EE) and detection sche...

This paper proposes a new spatiotemporal equalization method, which utilizes an adaptive antenna array and a decision feedback equalizer (DFE) simultaneously. For e ective spatiotemporal equalization, how to assign the role to spatial equalization part and temporal equalization part is really important. One of the answers which we have given is `incoming signals with larger time delays should b...

In this paper an equalization technique for colour images is introduced. The method is based on n th root and n th power equalization approach but with optimization of the mean of the image in different colour channels such as RGB and HSI. The performance of the proposed method has been measured by the means of peak signal to noise ratio. The proposed algorithm has been compared with convention...

Adaptive Histogram Equalization (AHE) often introduces artifacts, for example at the edges of relatively homogeneous regions. In this contribution we propose a variation of global histogram equalization, that avoids these artifacts. The method which is called Interactive Histogram Equalization (IHE) is based on a simpler calculation than AHE. IHE can be a serious competitor for the established ...

This paper describes a novel modification of Histogram Equalization (HEQ) approach to robust speech recognition. We propose separate equalization of the high frequency (HF) and low frequency (LF) bands. We study different combinations of the sub-band equalization and obtain best results when we perform a two-stage equalization. First, conventional HEQ is performed on the cepstral features, whic...