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Md Mehedi Hasan, Md. Ariful Islam, Sejuti Rahman, Michael R. Frater and John F. Arnold
Provisioning the stereoscopic 3D (S3D) video transmission services of admissible quality in a wireless environment is an immense challenge for video service providers. Unlike for 2D videos, a widely accepted No-reference objective model for assessing tra...
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Hyeseung Park and Seungchul Park
In this paper, we propose a novel unsupervised learning-based model for estimating the depth of monocular images by integrating a simple ResNet-based auto-encoder and some special loss functions. We use only stereo images obtained from binocular cameras ...
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Min Chang, Shuai Han, Guo Chen and Xuedian Zhang
Both noise and structure matter in single image super-resolution (SISR). Recent researches have benefited from a generative adversarial network (GAN) that promotes the development of SISR by recovering photo-realistic images. However, noise and structura...
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Xinhua Liu, Yao Zou, Chengjuan Xie, Hailan Kuang and Xiaolin Ma
The use of computers to simulate facial aging or rejuvenation has long been a hot research topic in the field of computer vision, and this technology can be applied in many fields, such as customs security, public places, and business entertainment. With...
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Minsoo Hong and Yoonsik Choe
The de-blurring of blurred images is one of the most important image processing methods and it can be used for the preprocessing step in many multimedia and computer vision applications. Recently, de-blurring methods have been performed by neural network...
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Thai Leang Sung and Hyo Jong Lee
We propose Identical-pair Adversarial Networks (iPANs) to solve image-to-image translation problems, such as aerial-to-map, edge-to-photo, de-raining, and night-to-daytime. Our iPANs rely mainly on the effectiveness of adversarial loss function and its n...
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