A new method allowing for semantically guided image segmentation and synthesis is designed using Matlab. The editing process is made considerably easier and more powerful with our content-aware tool. Set of database images are collected from internet and regions annotated with a carefully chosen vocabulary and utilize recent advances in texture synthesis algorithms to generate new and unique image regions from this database of material. These new regions are then seamlessly composited into a user’s existing photograph. The goal is to empower the end user with the ability to edit existing photographs and synthesize new ones on a high semantic level.

Reference Paper: Content-Based Image Synthesis

Author’s Name: Nicholas Diakopoulos, Irfan Essa, and Ramesh Jain

Source: CiteSeerX

Year: Unknown

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