Person
Pinar Akyazi
This person is no longer with EPFL
Related publications (18)
Learning-based Image Coding: Early Solutions Reviewing and Subjective Quality Evaluation
Touradj Ebrahimi, Pinar Akyazi
Nowadays, image and video are the data types that consume most of the resources of modern communication channels, both in fixed and wireless networks. Thus, it is vital to compress visual data as much as possible, while maintaining some target quality leve ...
SPIE-INT SOC OPTICAL ENGINEERING2021Image Compression and Quality Assessment using Convolutional Neural Networks
The rapid development of digital imaging and video has placed visual contents in the heart of our lives. Digital multimedia span a vast number of areas from business to leisure, including but not limited to education, medicine, accessibility, training, adv ...
EPFL2020An improved objective metric to predict image quality using deep neural networks
Touradj Ebrahimi, Pinar Akyazi
Objective quality assessment of compressed images is very useful in many applications. In this paper we present an objective quality metric that is better tuned to evaluate the quality of images distorted by compression artifacts. A deep convolutional neur ...
2019A new end-to-end image compression system based on convolutional neural networks
Touradj Ebrahimi, Pinar Akyazi
In this paper, two new end-to-end image compression architectures based on convolutional neural networks are presented. The proposed networks employ 2D wavelet decomposition as a preprocessing step before training and extract features for compression from ...
2019Perceptual Quality Study On Deep Learning Based Image Compression
Touradj Ebrahimi, Pinar Akyazi
Recently deep learning based image compression has made rapid advances with promising results based on objective quality metrics. However, a rigorous subjective quality evaluation on such compression schemes have rarely been reported. This paper aims at pe ...
IEEE2019Inpainting in Omnidirectional Images for Privacy Protection
Touradj Ebrahimi, Evgeniy Upenik, Pinar Akyazi
Privacy protection is drawing more attention with the advances in image processing, visual and social media. Photo sharing is a popular activity, which also brings the concern of regulating permissions associated with shared content. This paper presents a ...
2019Assessment of quality of JPEG XL proposals based on subjective methodologies and objective metrics
Touradj Ebrahimi, Pinar Akyazi
The Joint Photographic Experts Group (JPEG) is currently in the process of standardizing JPEG XL, the next generation image coding standard that o↵ers substantially better compression efficiency than existing image formats. In this paper, the quality asses ...
2019Learning-Based Image Compression using Convolutional Autoencoder and Wavelet Decomposition
Touradj Ebrahimi, Pinar Akyazi
In this paper, a learning-based image compression method that employs wavelet decomposition as a preprocessing step is presented. The proposed convolutional autoencoder is trained end-to-end to yield a target bitrate smaller than 0.15 bits per pixel across ...
2019A Novel Method for Sampling Bandlimited Graph Signals
Pascal Frossard, Pinar Akyazi, Dion Eustathios Olivier Tzamarias
In this paper we propose a novel vertex based sampling method for k-bandlimited signals lying on arbitrary graphs, that has a reasonable computational complexity and results in low reconstruction error. Our goal is to find the smallest set of vertices that ...
IEEE COMPUTER SOC2018A new objective metric to predict image quality using deep neural networks
Touradj Ebrahimi, Pinar Akyazi
Quality assessment of images is of key importance for media applications. In this paper we present a new objective metric to predict the quality of images using deep neural networks. The network makes use of both the color information as well as frequency ...
2018