Contrast And Colour Improvement Based Haze Removal of Underwater Images Using Fusion Technique

Project Code :TMMAIP410


The objective of this project is to develop an effective technique for improving the contrast and color of underwater images by removing the hazy effect caused by the scattering of light in water.


Scattering and absorption of light in water leads to degradation of images captured under the water. This degradation includes diminished colours, low brightness and undistinguishable objects in the image. To improve the quality of such degraded images, we have proposed fusion based underwater image enhancement technique that focuses on improving of the contrast and colour of underwater images using contrast stretching and Auto White Balance. Our proposed method is very simple and straightforward that contributes greatly in uplifting the visibility of underwater images.

Keywords: Fusion, Image Enhancement, Haze Underwater Image, Weight map

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram


Software: Matlab 2018a or above


Operating Systems:

·   Windows 10

·   Windows 7 Service Pack 1

·   Windows Server 2019

·    Windows Server 2016


Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support


Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space


Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

·  Introduction to Matlab


·  How to start with MATLAB

·  About Matlab language

·  Matlab coding skills

·  About tools & libraries

·  Application Program Interface in Matlab

·  About Matlab desktop

·  How to use Matlab editor to create M-Files

·  Features of Matlab

·  Basics on Matlab

·  What is an Image/pixel?

·  About image formats

·  Introduction to Image Processing

·  How digital image is formed

·  Importing the image via image acquisition tools

·  Analyzing and manipulation of image.

·  Phases of image processing:

           o  Acquisition

            Image enhancement

            Image restoration

           o  Color image processing

           o  Image compression

            Morphological processing

             Segmentation etc.,

· How to extend our work to another real time applications

· Project development Skills

           o   Problem analyzing skills

           o   Problem solving skills

           o   Creativity and imaginary skills

           o   Programming skills

           o   Deployment

           o   Testing skills

           o   Debugging skills

           o   Project presentation skills

           o   Thesis writing skills

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