The first mobile camera phone was sold only 20 years ago, when taking pictures with one's
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …

Adjusting camera exposure in arbitrary lighting conditions is the first step to ensure the
functionality of computer vision applications. Poorly adjusted camera exposure often leads …

We describe a simulation of the complete image processing pipeline of a digital camera,
beginning with a radiometric description of the scene captured by the camera and ending …

We present a new method to auto-adjust camera exposure for outdoor robotics. In outdoor
environments, scene dynamic range may be wider than the dynamic range of the cameras …

We introduce a novel method to automatically adjust camera exposure for image processing
and computer vision applications on mobile robot platforms. Because most image …

In this paper, we propose a noise-aware exposure control algorithm for robust robot vision.
Our method aims to capture best-exposed images, which can boost the performance of …

Proper exposure settings are crucial for modern machine vision cameras to accurately
convert light into clear images. However, traditional auto-exposure solutions are vulnerable …

The proposed algorithm provides fast and accurate auto-exposure capability for digital still
cameras. For normal lighting conditions, the number of preview frames and the exposure …

We propose a reinforcement learning approach for real-time exposure control of a mobile
camera that is personalizable. Our approach is based on Markov Decision Process (MDP) …

This paper proposes a new auto-exposure and auto white-balance algorithm that can
accurately detect high-contrast lighting conditions and improve the dynamic range of output …