Research Article
InnerEye: A Tale on Images Filtered Using Instagram Filters - How Do We Interact with them and How Can We Automatically Identify the Extent of Filtering?
@INPROCEEDINGS{10.1007/978-3-031-34776-4_26, author={Gazi Abdur Rakib and Rudaiba Adnin and Shekh Ahammed Adnan Bashir and Chashi Mahiul Islam and Abir Mohammad Turza and Saad Manzur and Monowar Anjum Rashik and Abdus Salam Azad and Tusher Chakraborty and Sydur Rahaman and Muhammad Rayhan Shikder and Syed Ishtiaque Ahmed and A. B. M. Alim Al Islam}, title={InnerEye: A Tale on Images Filtered Using Instagram Filters - How Do We Interact with them and How Can We Automatically Identify the Extent of Filtering?}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking and Services. 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings}, proceedings_a={MOBIQUITOUS}, year={2023}, month={6}, keywords={Images Filters Survey Deep Learning}, doi={10.1007/978-3-031-34776-4_26} }- Gazi Abdur Rakib
Rudaiba Adnin
Shekh Ahammed Adnan Bashir
Chashi Mahiul Islam
Abir Mohammad Turza
Saad Manzur
Monowar Anjum Rashik
Abdus Salam Azad
Tusher Chakraborty
Sydur Rahaman
Muhammad Rayhan Shikder
Syed Ishtiaque Ahmed
A. B. M. Alim Al Islam
Year: 2023
InnerEye: A Tale on Images Filtered Using Instagram Filters - How Do We Interact with them and How Can We Automatically Identify the Extent of Filtering?
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-031-34776-4_26
Abstract
Even though digitally filtered images are taking over the Internet for their aesthetic appeal, general people often feel betrayed if they are dealt with filtered images. Our study, comprising a series of structured surveys over images filtered using Instagram filters, reveals that different people perceive the filtered images differently. However, people have a common need for an automated tool to help them distinguish between original and filtered images. Accordingly, we develop an automated tool named‘InnerEye’, which is capable of identifying how far an image is filtered or not. InnerEye utilizes a novel analytical design of a Neural Network Model that learns from a diverse set of images filtered using Instagram filters. Rigorous objective and subjective evaluations confirm the efficacy of InnerEye in identifying the extent of filtering in the images.
