Automatic Black and White Image Coloring Using Engineering Learning Techniques.

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Hi ! I have a strong detail focus and excellent time management skills, allowing for fast completion of matlab projects.I have experience of 4 years in this field. Furthermore I am proficient in Algorithm, Electrical Engineering, Engineering, Mathematics, Matlab and Mathematica. I would appreciate a chance to sit down for an interview and show you why I am the best candidate. Kindly reply me soon so we can discuss more about this. Thank you.

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Dear employer, Hi I have done my M.Sc. thesis using Python and MATLAB. It was about developing a numerical model for simulating fluids flow through porous media. I developed the main code in Python and developed my analyzer tools in MATLAB. I learned lots of tricks in programming with these two great languages. I also had 2 big contracts. One of them was a contract with an educational institute and was about developing an Excel program for managing their workshops participants. I developed this program with Exel VBA. The other contract was about developing a numerical model for the search and rescue operation in the sea which I developed with C++. I have about 5 years of work experience in computer programming using different languages. It would be a great chance for me if we could collaborate with each other as I am an engineer who loves computer programming. My rating is a little low because one of my employers was a dealer and he did not want me to improve my business on this website. But honestly, I have some rules for my working life and their most important are: Be ON TIME, RESPONSIBLE, and RESPECTFUL. You can read the reviews of other employers on my profile. I am always here to answer your questions even after the project completion. It would be highly appreciated if you could send me more details about your project so we can discuss more. Regards, Amir

Experienced Senior Data Scientist with a demonstrated history of working in the financial services industry. Skilled in Requirements Analysis, Natural Language Processing, Big Data Analytics, Core Java, and Management. Strong engineering professional with a Master of Computer Application

Automatic colorization of Black-White images using deep learning is a technique to colorize black-white images without involvement of a human. Conventional techniques used for colorizing images need human intervention, which is timeconsuming. The project deals with deep learning techniques to automatically colorize black scale images. The proposed technique uses deep convolutional neural networks and has a number of advantages. The technique will reduce manual work, speed up the process and improve the accuracy. Automatic colorization techniques using ConvNet finds applications in various domains such as astronomy, electron microscopy, and archaeology. Conventional approach to achieve colorization included regression-based model, graph cut algorithm etc. Proposed model is a classification based technique but uses regression model as the base line model. Designed system consists of training and testing phases. Feature extraction and pixel-mapping from the input coloured image results in training of the system. In the testing phase the system is provided with black scale input images to check the accuracy of colorization of these images. This technique can be used to eliminate the need of expensive image transferring equipments for astronomical images and to speed up the process of conversion of legacy images to modern coloured images, thus reducing manual effort needed by utilizing deep learning techniques. Keywords—Deep Learning,Automatic Colorization, Black Scale Images.