A novel depth estimation method using infocused and defocused images. - Saeed Mahmoudpour; Manbae Kim (ICCE, 2014)

Automatic light control system using fish-eye lens camera. - Jong In Gil; Saeed Mahmoudpour; Manbae Kim (FCV, 2015)

Superpixel-based depth map estimation using defocus blur. - Saeed Mahmoudpour; Manbae Kim (ICIP, 2016)

The effect of depth map up-sampling on the overall quality of stereopairs. - Saeed Mahmoudpour; Manbae Kim (Displays, 2016)

No-reference image quality assessment in complex-shearlet domain. - Saeed Mahmoudpour; Manbae Kim (Signal Image Video Process., 2016)

Reduced-reference image quality assessment based on internal generative mechanism utilizing shearlets and Rényi entropy analysis. - Saeed Mahmoudpour; Peter Schelkens (QoMEX, 2017)

A Just Noticeable Difference Subjective Test for High Dynamic Range Images. - Ayyoub Ahar; Saeed Mahmoudpour; Glenn Van Wallendael; Tom Paridaens; Peter Lambert; Peter Schelkens (QoMEX, 2018)

Reduced-reference quality assessment of multiply-distorted images based on structural and uncertainty information degradation. - Saeed Mahmoudpour; Peter Schelkens (J. Vis. Commun. Image Represent., 2018)

Visual Quality Analysis of Judder Effect on Head Mounted Displays. - Saeed Mahmoudpour; Peter Schelkens (EUSIPCO, 2019)

Cross Data Set Performance Consistency of Objective Quality Assessment Methods for Light Fields. - Saeed Mahmoudpour; Peter Schelkens (QoMEX, 2020)

Synthesized View Quality Assessment Using Feature Matching and Superpixel Difference. - Saeed Mahmoudpour; Peter Schelkens (IEEE Signal Process. Lett., 2020)

A Multi-Attribute Blind Quality Evaluator for Tone-Mapped Images. - Saeed Mahmoudpour; Peter Schelkens (IEEE Trans. Multim., 2020)

Comprehensive performance analysis of objective quality metrics for digital holography. - Ayyoub Ahar; Tobias Birnbaum; Maksymilian Chlipala; Weronika Zaperty; Saeed Mahmoudpour; Tomasz Kozacki; Malgorzata Kujawinska; Peter Schelkens (Signal Process. Image Commun., 2021)

On the performance of objective quality metrics for lightfields. - Saeed Mahmoudpour; Peter Schelkens (Signal Process. Image Commun., 2021)

Omnidirectional Video Quality Index Accounting for Judder. - Saeed Mahmoudpour; Peter Schelkens (IEEE Trans. Circuits Syst. Video Technol., 2021)

Revisiting Natural Scene Statistical Modeling Using Deep Features for Opinion-Unaware Image Quality Assessment. - Saeed Mahmoudpour; Peter Schelkens (ICIP, 2022)

Unifying Structural and Semantic Similarities for Quality Assessment of DIBR-Synthesized Views. - Saeed Mahmoudpour; Peter Schelkens (IEEE Access, 2022)

On the Agreement of Deep Neural Networks with the Brain in Encoding Visual Stimuli: Implications for Image Quality Assessment. - Saeed Mahmoudpour; Peter Schelkens (DSP, 2023)

On the Correspondence between Human Vision and Convolutional Neural Networks: A Visual Quality Assessment Perspective. - Saeed Mahmoudpour; Peter Schelkens (QoMEX, 2023)

Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks. - Yuqing Yang; Saeed Mahmoudpour; Peter Schelkens; Nikos Deligiannis (QoMEX, 2023)

A Subjective Test Framework for JPEG Pleno Quality Assessment. - Shengyang Zhao; Saeed Mahmoudpour; Mylène C. Q. Farias; Carla L. Pagliari; Peter Schelkens (QoMEX, 2024)

Learning-based light field imaging: an overview. - Saeed Mahmoudpour; Carla L. Pagliari; Peter Schelkens (EURASIP J. Image Video Process., 2024)