Image Processing for next-generation cameras
While computational cameras are set to disrupt the conventional camera environment, it is still not easy to integrate new optical and software designs into the existing ecosystem. With the many new optics, sensors and processors coming to market, the heterogeneous environment means ISPs need to be re-engineered with every new product; needless to say, this quickly becomes a resource-consuming process.
The solution is CRISP:
the Computationally Reconfigurable Image Signal Platform
Conventional camera pipeline
Separate processes aggregate errors
- Each imaging process is an IP block, separately integrated to optics and hardware, which vary across devices.
- The RAW imaging data is referred to only at the outset; each process then creates errors that carry over across the pipeline.
- These errors are aggregated, creating suboptimal image and use of resources. For OEMs, this means a painstaking integration and testing, often delaying production.
A software system that is optimized holistically for final image quality means that errors are minimized and changes can be implemented on the fly. Instead of working linearly and compounding the errors at each step, CRISP dynamically optimizes for final image quality and balances all the different functions.
This is especially useful for companies working on computational cameras. Whether they are focused on innovative optics or new applications, their ISP integration work can be minimized thereby allowing them to funnel energy into their core mission. The availability of a software ISP for next-generation cameras will accelerate innovation and push the limits of image quality.
See some sample applications
CRISP means: Higher quality images and Simpler integration
CRISP is a cross-market, licensable software ISP that can provide higher quality images and adapt to:
- Stereo cameras
- Array cameras
- Lenslet arrays
- Light-field cameras
- Optical masks
- Foveon X3
- New Bayer filters
- Multispectral imaging
- Medical scoping
- Improving images captured in low-light
- Improved dynamic-range & HDR
- Depth-mapping & 3D
- Refocus capabilities
- Complex image editing
- Image stabilization & motion deblurring