activity
20202026
most citedMulti-task deep CNN model for no-reference image quality assessment on smartphone camera photos

6 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models

Chen-Hsiu Huang, Mario Köppen, Ja-Ling Wu

The proliferation of AI-generated images produced by Latent Diffusion Models (LDMs) has raised critical concerns regarding copyright infringement and misinformation. Although exist…

eess.IV2026

Variable-Rate Deep Image Compression based on Low-Rank Adaptation by Progressive Learning

Xing-Yu Xu, Chen-Hsiu Huang, Ja-Ling Wu

In the digital age, image compression is crucial for numerous applications, including web media, streaming services, high-resolution medical imaging, and connected vehicle networks…

cs.CV2024

SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation

Chen-Hsiu Huang, Ja-Ling Wu

The digital image manipulation and advancements in Generative AI, such as Deepfake, has raised significant concerns regarding the authenticity of images shared on social media. Tra…

cs.CV2024★ 1 cited

Exploring Compressed Image Representation as a Perceptual Proxy: A Study

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. This study affirms that the compresse…

cs.CR2023★ 2 cited

Image Data Hiding in Neural Compressed Latent Representations

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. By leveraging a perceptu…

cs.CV2023

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

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. However, with the increasing prevalen…

cs.CR2022

Image data hiding with multi-scale autoencoder network

Chen-Hsiu Huang, Ja-Ling Wu

mage steganography is the process of hiding information which can be text, image, or video inside a cover image. The advantage of steganography over cryptography is that the intend…

cs.MM2020

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

Chen-Hsiu Huang, Ja-Ling Wu

JPEG has been a widely used lossy image compression codec for nearly three decades. The JPEG standard allows to use customized quantization table; however, it's still a challenging…

cs.CV2020★ 6 cited

Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos

Chen-Hsiu Huang, Ja-Ling Wu

Smartphone is the most successful consumer electronic product in today's mobile social network era. The smartphone camera quality and its image post-processing capability is the do…