Search Results for author: Aakanksha Rana

Found 8 papers, 5 papers with code

Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views

no code implementations25 Jan 2021 Cagri Ozcinar, Aakanksha Rana

The quality assessment framework offers to utilize tangential views to cope with the spherical nature of a given ODIs.

Image Super-Resolution Single Image Super Resolution

Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution

1 code implementation3 Aug 2020 Supratik Banerjee, Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic, Michael Manzke

To tackle this problem, in this paper, we study reducing the number of parameters and computational cost of CNN-based SISR methods while maintaining the accuracy of super-resolution reconstruction performance.

Image Super-Resolution Single Image Super Resolution

Aesthetic Image Captioning From Weakly-Labelled Photographs

1 code implementation29 Aug 2019 Koustav Ghosal, Aakanksha Rana, Aljosa Smolic

Aesthetic image captioning (AIC) refers to the multi-modal task of generating critical textual feedbacks for photographs.

Aesthetic Image Captioning

ColorNet -- Estimating Colorfulness in Natural Images

1 code implementation22 Aug 2019 Emin Zerman, Aakanksha Rana, Aljosa Smolic

Measuring the colorfulness of a natural or virtual scene is critical for many applications in image processing field ranging from capturing to display.

Image Classification

Towards Generating Ambisonics Using Audio-Visual Cue for Virtual Reality

1 code implementation16 Aug 2019 Aakanksha Rana, Cagri Ozcinar, Aljoscha Smolic

Ambisonics i. e., a full-sphere surround sound, is quintessential with 360-degree visual content to provide a realistic virtual reality (VR) experience.

Super-resolution of Omnidirectional Images Using Adversarial Learning

1 code implementation12 Aug 2019 Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic

An omnidirectional image (ODI) enables viewers to look in every direction from a fixed point through a head-mounted display providing an immersive experience compared to that of a standard image.


Deep Tone Mapping Operator for High Dynamic Range Images

no code implementations12 Aug 2019 Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frederic Dufaux, Nikos Komodakis, Aljosa Smolic

In this paper, we address this problem by proposing a fast, parameter-free and scene-adaptable deep tone mapping operator (DeepTMO) that yields a high-resolution and high-subjective quality tone mapped output.

Tone Mapping

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