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Image Layer Decomposition Program

Student: Karolina Tretyakova

Supervisor: Rimma Akhmetsafina

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2019

For some time now image editing has been a daily routine for people of different occupations and interests. Most of modern image editing software applications allow to create and manipulate images using layers: placing them on top of each other and applying different blend modes. Editing can imply changing original colours of the image, which often includes separating an image into multiple layers in order to achieve a more efficient and seamless edit. In the same way as an artist paints a picture stroke by stroke, an image can be decomposed back into layers. Despite many different approaches that have been presented [1-4], an efficient and easy to use solution has not been discovered yet. The goal of this paper is to explore existing solutions and approaches to similar problems and to implement an efficient program that can be used to decompose an image into useful single-colour layers. The program is implemented in Python programming language with the use of NumPy and SciPy frameworks. This paper contains 36 pages, 3 chapters, 16 illustrations and 13 references. Keywords: image processing, image layer decomposition, RGB.

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