Abstract: A method of color reconstruction includes a first process for a first pixel and a second process for the first pixel. The first process includes extracting a first kernel from a multi-color matrix, generating first variance weights from the first kernel, and generating a first color based on the first variance weights and adjacent pixel values of the first color. The second process includes extracting a second kernel from the multi-color matrix, generating second variance offsets from the second kernel, and generating a second color based on the second variance offsets and an adjacent pixel of the second color.

Abstract: A method of adaptive pixel correction of a multi-color matrix from a sensor includes collecting pixel values, generating plural vectors, normalizing values and determining an estimated value. The collecting pixel values collects values of a two-dimensional multi-pixel kernel around a particular pixel from the multi-color matrix. The generating plural vectors generates vectors from the kernel where each vector has the particular pixel as a central element. The normalizing values normalizes values for nearest neighbor elements to the central element for each vector. The determining an estimated value determines the value based on the normalized values.