Latest Articles for Image Processing

Learn how 3D Hilbert encoding organizes data in three dimensions for various applications.

Reducing noise in images improves quality and compression efficiency.

A new method enhances deblurring of images with saturation and low light.

New methods improve image quality and efficiency in storage.

New methods aim to improve accuracy in AI image and text integration.

A new method enhances object detection using limited image-level labels.

Synthetic data generation improves AI training efficiency and performance.

Introducing a new method for analyzing JPEG compressed handwritten documents efficiently.

A look at manipulating facial features in images for effective head rotations.

New methods ensure camera pose accuracy in critical applications.

DFM-X improves neural networks by addressing shortcut learning through frequency insights.

TEED offers efficient edge detection with minimal resource requirements.

BiGSeT improves the detection of unusual items in complex hyperspectral images.

SimMatchV2 improves image classification accuracy using fewer labeled examples.

New techniques in AI are improving synthetic image quality and generation efficiency.

Introducing DAEFR, a novel method to restore low-quality facial images.

A new method improves training and stability of Generative Adversarial Networks.

New methods enhance image quality for better biological analysis.

This work shows how to generate useful synthetic datasets for optical flow estimation.

A method to translate skull images into realistic animal representations using text prompts.

A look at new methods improving text detection in images.

The Spatial Cross-scale Convolution Module improves efficiency in image recognition models.

A new approach enhances semantic segmentation through dynamic prompting and smart alignment.

A new approach to image retrieval focusing solely on global features for improved efficiency.

An insight into how shape stability impacts mathematical problems.

YODA enhances super-resolution by focusing on key image areas.

Mirror ball projections provide new ways to monitor challenging environments.

A novel approach improves image quality and speed in reconstruction processes.

New methods enhance Kernel Dictionary Learning for large datasets.

A method focuses on identifying images that do not match expected categories.

Discover how Dictionary Learning enhances data classification methods.

A new method leverages self-supervised learning for improved scene understanding.

Graph-Segmenter improves image segmentation through innovative transformer techniques.

This paper examines how neural image compression adapts to new data challenges.

A new method improves fairness in generative models without requiring original datasets.

A novel approach to assess image generation quality based on text descriptions.

New approaches improve accuracy in detecting keypoints for 3D scenes.

A new method combines visual traits and meanings for better image search results.

ALIP improves image-text connections using synthetic captions for better learning.

Innovative solutions improve machine learning performance in changing image conditions.