Search Results for author: Ja-Ling Wu

Found 6 papers, 2 papers with code

Exploring Compressed Image Representation as a Perceptual Proxy: A Study

1 code implementation14 Jan 2024 Chen-Hsiu Huang, Ja-Ling Wu

We propose an end-to-end learned image compression codec wherein the analysis transform is jointly trained with an object classification task.

Image Compression Perceptual Distance

Image Data Hiding in Neural Compressed Latent Representations

no code implementations1 Oct 2023 Chen-Hsiu Huang, Ja-Ling Wu

We propose an end-to-end learned image data hiding framework that embeds and extracts secrets in the latent representations of a generic neural compressor.

CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression

no code implementations1 Oct 2023 Chen-Hsiu Huang, Ja-Ling Wu

Lossy image coding standards such as JPEG and MPEG have successfully achieved high compression rates for human consumption of multimedia data.

Image Compression Perceptual Distance +1

JQF: Optimal JPEG Quantization Table Fusion by Simulated Annealing on Texture Images and Predicting Textures

1 code implementation13 Aug 2020 Chen-Hsiu Huang, Ja-Ling Wu

Instead of optimizing a single image or a collection of representative images, the simulated annealing technique is applied to texture mosaic images to search for an optimal quantization table for each texture category.

Multimedia Image and Video Processing

k-Same-Siamese-GAN: k-Same Algorithm with Generative Adversarial Network for Facial Image De-identification with Hyperparameter Tuning and Mixed Precision Training

no code implementations27 Mar 2019 Yi-Lun Pan, Min-Jhih Huang, Kuo-Teng Ding, Ja-Ling Wu, Jyh-Shing Jang

For a data holder, such as a hospital or a government entity, who has a privately held collection of personal data, in which the revealing and/or processing of the personal identifiable data is restricted and prohibited by law.

De-identification Generative Adversarial Network

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