• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Web Application Development for Scaling Bitmap Images Using Neural Networks

Student: Maltsev Aleksey

Supervisor: Vladimir Viktorovich Morozenko

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Business Informatics (Bachelor)

Final Grade: 9

Year of Graduation: 2017

This final qualifying work contains an analysis of the method of obtaining super-resolution using a convolutional neural network (SRCNN), as well as a description of an application designed to demonstrate the operation of the selected neural network. Graduation qualification work occupies 38 pages of A4 format, includes 14 figures, 1 table, 4 annexes and consists of 3 chapters: Analysis of the subject area and methods of machine learning, Design of neural network architecture and Application development. The first chapter analyzes the subject area of machine learning and describes the operation principle of a convolutional neural network. The second chapter describes the architecture of the SRCNN convolutional neural network, and its modification is designed. The third chapter describes the implementation of two versions of the application for demonstrating the operation of a neural network. The aim of this work is the development of a neural network module for upscaling images with minimal loss in quality, as well as demonstrating the use of this module through a web interface.

Full text (added May 23, 2017)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses