Ms. Michela Testolina Profile

Michela Testolina

at EPFL

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 4 October 2023 Presentation + Paper

Presentation + Paper

Towards learning-based image compression for storage on DNA support

Sophie Strebel, Noémie Monnier, Davi Lazzarotto, Michela Testolina, Touradj Ebrahimi

Proceedings Volume 12674, 126740V (2023) https://doi.org/10.1117/12.2677356

KEYWORDS: Image compression, Image quality, Data storage, Image storage, Image processing, Molecules

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Proceedings Article | 4 October 2023 Presentation + Paper

Presentation + Paper

On the assessment of high-quality images: advances on the JPEG AIC-3 activity

Michela Testolina, Evgeniy Upenik, Touradj Ebrahimi

Proceedings Volume 12674, 126740Q (2023) https://doi.org/10.1117/12.2677347

KEYWORDS: Image quality, Image compression, Image quality standards, Visual compression, Image processing, Image visualization, Standards development

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Proceedings Article | 7 June 2023 Presentation + Paper

Presentation + Paper

Towards learning-based denoising of light fields

Tomás Soares De Carvalho Feith, Michela Testolina, Touradj Ebrahimi

Proceedings Volume 12571, 1257109 (2023) https://doi.org/10.1117/12.2666000

KEYWORDS: Denoising, Machine learning, Image denoising, Visualization, Image processing, Cameras, 3D modeling

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Proceedings Article | 3 October 2022 Presentation + Paper

Presentation + Paper

Towards JPEG AIC part 3: visual quality assessment of high to visually lossless image coding

Michela Testolina, Evgeniy Upenik, Jon Sneyer, Touradj Ebrahimi

Proceedings Volume 12226, 122260D (2022) https://doi.org/10.1117/12.2636687

KEYWORDS: Image quality, Image compression, Image quality standards

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Due to the increasing number of pictures captured and stored every day by and on digital devices, lossy image compression has become inevitable to limit the needed storage requirement. As a consequence, these compression methods might introduce some visual artifacts, whose visibility depends on the chosen bitrate. Modern applications target images with high to near-visually lossless quality, in order to maximize the visual quality while still reducing storage space consumption. In this context, subjective and objective image quality assessment are essential tools in order to develop compression methods able to generate images with high visual quality. While a large variety of subjective quality assessment protocols have been standardized in the past, they have been found to be imprecise in the quality interval from high to near-visually lossless. Similarly, an objective quality metric designed to work specifically in the mentioned range has not been designed yet. As current quality assessment methodologies have proven to be unreliable, a renewed activity on the Assessment of Image Coding, also referred to as JPEG AIC, was recently launched by the JPEG Committee. The goal of this activity is to extend previous standardization efforts, i.e. AIC Part 1 and AIC Part 2 (also know as AIC-1 and AIC-2), by developing a new standard, known as AIC Part 3 (or AIC-3). Notably, the goal of the activity is to standardize both subjective and objective visual quality assessment methods, specifically targeting images with quality in the range from high to near-visually lossless. Two Draft Calls for Contributions on Subjective Image Quality Assessment1, 2 were released, aiming at collecting contributions on new methods and best practices for subjective image quality assessment in the target quality range, while a Call for Proposals on Objective Image Quality Assessment is expected to be released at a later date. This paper aims at summarizing past JPEG AIC efforts and reviewing the main objectives of the future activities, outlining the scope of the activity, the main use cases and requirements, and call for contributions. Finally, conclusions on the activity are drawn.

Proceedings Article | 3 October 2022 Presentation + Paper

Presentation + Paper

On combining denoising with learning-based image decoding

Léo Larigauderie, Michela Testolina, Touradj Ebrahimi

Proceedings Volume 12226, 122260M (2022) https://doi.org/10.1117/12.2636682

KEYWORDS: Denoising, Image compression, Visualization, Artificial intelligence, Image processing, Image quality, Image denoising

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Proceedings Article | 3 October 2022 Paper

Paper

Towards effective visual information storage on DNA support

Luka Secilmis, Michela Testolina, Davi Lazzarotto, Touradj Ebrahimi

Proceedings Volume 12226, 1222605 (2022) https://doi.org/10.1117/12.2636678

KEYWORDS: Data storage, Image compression

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Proceedings Article | 1 August 2021 Presentation + Paper

Presentation + Paper

Towards super resolution in the compressed domain of learning-based image codecs

Evgeniy Upenik, Michela Testolina, Touradj Ebrahimi

Proceedings Volume 11842, 118421N (2021) https://doi.org/10.1117/12.2597833

KEYWORDS: Image compression, Super resolution, Visualization, Image quality, Image resolution, Image processing, Neural networks

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Proceedings Article | 1 August 2021 Presentation + Paper

Presentation + Paper

Towards image denoising in the latent space of learning-based compression

Michela Testolina, Evgeniy Upenik, Touradj Ebrahimi

Proceedings Volume 11842, 118421A (2021) https://doi.org/10.1117/12.2597828

KEYWORDS: Denoising, Image compression, Visualization, Image denoising, Image processing, Visual compression, Image quality, Cameras

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Proceedings Article | 1 August 2021 Presentation + Paper

Presentation + Paper

Review of subjective quality assessment methodologies and standards for compressed images evaluation

Michela Testolina, Touradj Ebrahimi

Proceedings Volume 11842, 118420Y (2021) https://doi.org/10.1117/12.2597813

KEYWORDS: Visualization, Image compression, Image quality, Image quality standards, Visual compression, Standards development, Image analysis

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Proceedings Article | 21 August 2020 Presentation + Paper

Presentation + Paper

Comprehensive assessment of image compression algorithms

Michela Testolina, Evgeniy Upenik, Touradj Ebrahimi

Proceedings Volume 11510, 1151020 (2020) https://doi.org/10.1117/12.2569255

KEYWORDS: Image compression, Image quality, Visual compression, Transparency, Standards development

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Showing 5 of 10 publications

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