The goal of spectral imaging is to capture the spectral signature of a target. Traditional
scanning method for spectral imaging suffers from large system volume and low image …

Significance Spectral imaging, which includes hyperspectral and multispectral imaging, can
provide images in numerous wavelength bands within and beyond the visible light …

Multi-spectral imaging is a fundamental tool characterizing the constituent energy of scene
radiation. However, current multi-spectral video cameras cannot scale up beyond megapixel …

Hyperspectral imaging is useful for applications ranging from medical diagnostics to
agricultural crop monitoring; however, traditional scanning hyperspectral imagers are …

Diffractive achromats (DAs) promise ultra-thin and light-weight form factors for full-color
computational imaging systems. However, designing DAs with the optimal optical transfer …

Conventional high-speed and spectral imaging systems are expensive and they usually
consume a significant amount of memory and bandwidth to save and transmit the high …

Cameras are designed with a complicated tradeoff between image quality (eg sharpness,
contrast, color fidelity), and practical considerations such as cost, form factor, and weight …

Abstract High-dynamic-range (HDR) imaging is crucial for many applications. Yet, acquiring
HDR images with a single shot remains a challenging problem. Whereas modern deep …

Multispectral imaging has been used for numerous applications in eg, environmental
monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical …

Imaging depth and spectrum have been extensively studied in isolation from each other for
decades. Recently, hyperspectral-depth (HS-D) imaging emerges to capture both …