Amit Verma ¹, Sanjay Kumar Sharma ², Bhavneet Kaur ¹

Affiliations
1 Department of Computer Science, Chandigarh Engineering College, Landran, Mohali – 140307, Punjab, IN
2 Department of Computer Science, Chandigarh University, Gharuan (Mohali) - 160036, Punjab, IN

Abstract

Background/Objectives: Cloud computing is an arena that is ruling the world of information technology. Every user has its own definition for this technology as per their use. This paper is properly discussed document that describes the complete evolution of cloud computing from its beginning. Findings: With the presence of vast literature in field of load balancing, it was found confusion for the new scholars to find the startup point for their research in this field. Therefore, an exhaustive comparison has been made for the superior understanding of cloud evolution through various proposed algorithms from the past many decades, which will make the researchers possible to analyze the existing scenarios and a better way out to overcome the unsolved queries. Application/Improvements: The assessments between the algorithms will help the new researchers to analyze and opt for the parameters those need much more concentration to meet the required targets for better outcomes in the field.

Keywords

Cloud Computing, Information Extraction and Performance Measure, Load Balancing

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Khushjeet Kaur ¹, Bhavneet Kaur ¹

Affiliations
1 Department of Computer Science and Engineering, Shaheed Bhagat Singh State Technical Campus, Moga Road (NH-95), Ferozepur – 152004, Punjab, IN

Abstract

Image enhancement is an algorithm used in vision applications for improving the visibility of the digital images. Recently much work is done in the field of remote sensing images to improve the visibility for improving their accuracy for further applications. It has been found that the most of the existing researchers have neglected many issues i.e. no technique is accurate for different kind of circumstances. The existing methods have neglected the use of radiant optimization to reduce the problem of noise which will be presented in the image. It is also found that the color artifacts which will be presented in the output image due to the transform domain methods, also neglected by the most of the researchers Therefore, to overcome these issues, in this work, the present research work uses Dominant Brightness Level Analysis (DBLA) based image enhancement algorithm using Illuminated normalization for removing the uneven brightness of the images, Gradient optimization to preserve edges of enhanced images and Adaptive histogram stretching to remove the color artifacts. Moreover the performance of DBLA and proposed DBLA technique for enhancing the remote sensed color images has also been evaluated. The comparison has been done on the basis of various performance metrics which proves the efficiency of the proposed algorithm.

Keywords

Adaptive Histogram Equalization, Contrast Enhancement, Dominant Brightness Level Analysis

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