Portrait Segmentation Using Deep Learning
This addresses the need for accessible portrait photography enhancement for smartphone users, though it appears incremental as it builds on existing segmentation techniques.
The paper tackles the problem of replicating DSLR portrait mode on smartphones to generate high-quality portrait images, achieving results that mimic professional blur effects.
A portrait is a painting, drawing, photograph, or engraving of a person, especially one depicting only the face or head and shoulders. In the digital world the portrait of a person is captured by having the person as a subject in the image and capturing the image of the person such that the background is blurred. DSLRs generally do it by reducing the aperture to focus on very close regions of interest and automatically blur the background. In this paper I have come up with a novel approach to replicate the portrait mode from DSLR using any smartphone to generate high quality portrait images.