A new technique, Bi-Level Weighted Histogram Equalization (BWHE) is proposed in this paper for the purpose of better brightness preservation and contrast enhancement of any input image. This technique applies bi-level weighting procedure on Brightness preserving Bi-Histogram Equalization (BBHE) to enhance the input images. The core idea of this method is to first segment the histogram of the in...

EQUALIZATION REVISITED: ITS ROLE AND DESIGN BY ROBIN BOADWAY QUEEN’S UNIVERSITY Introduction Equalization is very much in the news these days. The program is the last vestige of the 1970s’ federal-provincial fiscal arrangements to remain more or less intact over the period of federal retrenchment. As such, it seems to be a sitting duck, a target for potshots from think tanks, pundits, ex-politi...

In this work the performance of a combined equalization for multi-carrier code division multiple access (MC-CDMA) systems is analytically evaluated. Combined equalization consists in performing both pre-equalization at the transmitter and post-equalization at the receiver in order to counteract fading and multi user interference. In this paper we consider partial combining (PC) at the transmitt...

Dedicated hardware can be used when images and video are acquired and processed. In this paper, a histogram equalization algorithm is written in a Hardware Description Language for future implementation in reconfigurable hardware. The goal of this project is to implement a histogram equalization algorithm using VHDL for a real-time processing system on a Field Programmable Gate Array (FPGA). Th...

Sound equalization in closed spaces can be significantly improved by generating propagating waves that are naturally associated with the geometry, as, for example, plane waves in rectangular enclosures. This paper presents a control approach termed effort variation regularization based on this idea. Effort variation equalization involves modifying the conventional cost function in sound equaliz...

This paper presents a novel adaptive reducedrank multi-input-multi-output (MIMO) decision feedback equalization structure based on joint iterative optimization of adaptive estimators. The novel reduced-rank equalization structure consists of a joint iterative optimization of two equalization stages, namely, a projection matrix that performs dimensionality reduction and a reduced-rank estimator ...

We present a comparison between two color equalization algorithms: Retinex, the famous model due to Land and McCann, and Automatic Color Equalization (ACE), a new algorithm recently presented by the authors. These two algorithms share a common approach to color equalization, but different computational models. We introduce the two models focusing on differences and common points. An analysis of...

In this paper, a new method based on the class-based histogram equalization to compensate the acoustic mismatch between training and test conditions of speech recognizers is proposed. The proposed method improves the speech recognition accuracy in noisy environments by reducing two limitations of the conventional histogram equalization: The discrepancy of phonetic class distributions between tr...