Contrast Enhancement using Completely

N. A.

doi:10.34028/iajit

Article Details

Contrast Enhancement using Completely

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 3, pp.67-74

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389251

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 Illumination pre-processing is an inevitable step for a real-time automatic face recognition system in solving 
challenges related to lighting variation for recognizing the face images. This paper proposes a novel framework namely 
Completely Overlapped Uniformly Decrementing Sub-Block Histogram Equalization (COUDSHE) to normalize or pre-
process the illumination deficient images. COUDSHE is based on the idea that efficiency of the pre-processing technique 
mainly depends on the framework for application of the technique on the affected image. The primary goal of this paper is to 
bring out a new strategy for localizing a Global Histogram Equalization (GHE) Technique to help it adapt to the local light 
condition of the image. The Mean Squared Error (MSE), Histogram Flatness Measure, Absolute Mean Brightness Error 
(AMBE) are the objective measures used to analysis the efficiency of the technique. Experimental Results reveal that 
COUDSHE has better performance on Heavy shadow images and half lit image than the existing techniques.

Article Details

Contrast Enhancement using Completely

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 3, pp.67-74

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389251

pISSN:

2309-4524

DOI:

10.34028/iajit

Illumination pre-processing; global histogram equalization; localization; mean squared error; histogram flatness measure

absolute mean brightness error

Issues

Article Details

Contrast Enhancement using Completely

Authors: N. A.

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 3, pp.67-74

Document Type: Article

Publication Date: 1/2019

Document Language: English

Document ID (Org No.): 2001389251

pISSN: 2309-4524

DOI: 10.34028/iajit

Illumination pre-processing; global histogram equalization; localization; mean squared error; histogram flatness measure

absolute mean brightness error

Issues

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 3, pp.67-74

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389251

pISSN:

2309-4524

DOI:

10.34028/iajit