A reconstruction method based on a white-compensated luminance reconstruction and using filter weights referred to as smartgreen-parameters is proposed. An aliasing free luminance signal, even at the multiples of the sample frequency and in case of a camera without optical low pass filter is achieved. Moreover this white-compensated luminance-signal is free of signal distortion. The proposed method allows a suitable low pass filter to be added or combined and a is particular well suited to implement a variety of abasing free color- and contour-filters. The RGB color signals are reconstructed using filter weights which can be chosen as a function of the heaviness of the sensor matrix and of the optical transfer of the camera.

A method is provided for obtaining high-resolution performance from a standard image sensor, such as a single-chip image sensor. Since single-chip color image sensing is often the least expensive way to obtain color images, the invention helps to lower the cost of high-resolution machine vision performance. The color image produced by the single-chip image sensor is processed in two ways at run-time. In one stage of run-time, processing is performed on the original color image provided by the image sensor, including normal low-resolution image processing and low-resolution machine vision analysis. In another stage of run-time, a high-resolution search model is determined to search the color image using knowledge of the geometric properties of the arrangement of the pixels of the low-resolution image sensor, and the sub-pixel phase of the high-resolution search model. The invention can as much as double the accuracy of machine vision analysis using a standard color camera.

An imaging camera apparatus (20) for capturing images electronically and providing output data for four separate color channels, red, green, blue, and a fourth saturated primary color, expanding the color gamut over conventional three color channel cameras. An image acquisition unit (120) directs input light to one, two, or four photosensors (30) for obtaining four-color image data.

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.

A system constructs a high resolution image from a plurality of low resolution images where each of the low resolution images includes a plurality of color planes. The system receives the plurality of low resolution images where the plurality of color planes of each of the low resolution images are spatially arranged in at least a partially non-coincident manner. Motion data representative of motion of at least a portion of the low resolution images is determined. The high resolution image is constructed, having a resolution greater than the low resolution images, based upon the non-coincident color planes of the low resolution images, together with the motion data.