Hyperspectral imaging is one of the most promising techniques for intraoperative tissue characterisation. Snapshot mosaic cameras, which can capture hyperspectral data in a single exposure, have potential to make real-time system surgical decision-making possible. However, optimal exploitation captured requires solving an ill-posed demosaicking problem and applying additional spectral correctio...

Pushing the physical limits of the camera sensors brings significant challenges to image post-processing techniques, which often have to work under various constraints, such as low-power, limited memory and computational resources. Other platforms, e.g., desktop PCs suffer less from these issues, allowing extra room for improved reconstruction. Moreover, the captured images are subject to many ...

—In this paper a region-adaptive demosaicking algorithm with low computational complexity for single-sensor digital cameras is proposed. The proposed algorithm firstly divides the input image into two kinds of regions and then adopts different interpolation methods for each type. The proposed interpolation method makes full use of bilinear’s fast execution speeds in the smooth region. And it d...

Real-world, imaging systems acquire measurements that are degraded by noise, optical aberrations, and other imperfections make image processing for human viewing higher-level perception tasks challenging. Conventional cameras address this problem compartmentalizing from high-level task processing. As such, conventional involves the RAW sensor in a sequential pipeline of steps, such as demosaick...

Chromatic Aberration of lenses is becoming increasingly visible with the rise of sensor resolution, and methods to algorithmically correct it are becoming increasingly common in commercial systems. A popular class of algorithms undo the geometric distortions after demosaicking. Since most demosaickers require high frequency correlation of primary colors to work effectively, the result is artifa...

The high density of pixels in modern color sensors provides an opportunity to experiment with new color filter array (CFA) designs. A significant bottleneck in evaluating new designs is the need to create demosaicking, denoising and color transform algorithms tuned for the CFA. To address this issue, we developed a method(local, linear, learned or L) for automatically creating an image processi...