The key of this shift lies in ApexVision’s system-level design, which integrates a new high-sensitivity detector, a dedicated processing platform, and an intelligent imaging enhancement algorithm. The ...

CES 2026 underscored a significant shift: AI imaging is no longer a standalone feature but a core driver of user experience. Industry trends revealed a strong demand for integrated solutions that ...

All-optical image processing has been viewed as a promising technique for its high computation speed and low power ...

Apple researchers have developed an AI model that dramatically improves extremely dark photos by integrating a diffusion-based image model directly into the camera’s image processing pipeline, ...

The paper Learning Fair Representations by Zemel et al. introduces a pre-processing algorithm for demographic parity. The goal of the task is to implement the algorithm in Fairlearn. The algorithm is ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The detection of nanoplastics (NPs) in complex natural water systems is hindered by ...

Add a description, image, and links to the image-hashing-algorithms topic page so that developers can more easily learn about it.

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

Abstract: We demonstrate a measurement methodology for improving the photonic chip fabrication based on an image processing algorithm, where the chips with fabrication errors can be maintained within ...