demosaicked

Demosaicking is a process used in digital image processing to reconstruct a full-color image from a single-sensor image capture device, such as a digital single-lens reflex (DSLR) camera or a smartphone. These types of cameras have a color filter array (CFA) positioned over the image sensor, which captures one color per pixel.

The CFA consists of a repeating pattern of red, green, or blue color filters, typically arranged in a 2x2 or 3x3 grid. By combining the values from neighboring pixels, demosaicking algorithms can estimate the missing color values for each pixel, effectively interpolating a full-color image.

There are several demosaicking algorithms available, each with its strengths and weaknesses. The popular ones include the Bilateral Filter, Discrete Cosine Transform (DCT), and Adaptive Homogeneity-Directed demosaicking techniques. These algorithms apply various mathematical methods to estimate the missing color values, often involving smoothing and edge detection techniques.

Demosaicking is crucial in digital still camera and smartphone imaging, as it allows for the creation of color images from the limited color information captured by the sensor. The process is often performed in conjunction with other image processing tasks, such as white balance correction and noise reduction. The output of demosaicking serves as a foundation for further image processing, allowing for additional enhancements and corrections to be applied to the image.

High-quality demosaicking can lead to improved image quality and color accuracy, especially when combined with advanced image processing techniques.