High resolution reconstruction of color images

High-resolution images are required in most electronic imaging applications. Of course, high-resolution colored image offers more details thana low-resolution image. High-resolution images are of great importance inapplications such as in digital still cameras DSCs, medical imaging, militaryimagmg, underwater imaging, remote sensing, and surveillance securitysystems.In this thesis, we are concern about digital still cameras as an example ofobtaining high-resolution image. Following the trichromatic theory of col orvision, an arbitrary color is matched by superimposing appropriate amounts ofthe three-primary colors (Red (R) - Green (G) - Blue (B)). Since sensor is amonochromatic device, professional digital cameras acquire color information using three sensors with R, G and B color filters having different spectral transmittances. Using multiple sensors to detect different parts of the visible spectrum requires splitting the light entering the camera so that the scene is imaged onto each sensor. Precise registration is then required to align the three images. These additional requirements add a large expense to the system. To reduce its the size and cost, digital still cameras use a single electronic sensoroverlaid with a color filter array (CF A) such that each sensor pixel onlysamples one of the three primary color values. To render a full-color imagefrom the CF A samples, the two missing color values are estimated from itsneighbors. This process is called CF A demosaicking and it is an integralelement in single-sensor imaging. Some demosaicking methods that found inliterature and some enhanced methods are introduced and compared to specifyalgorithms that give better performance. The comparison is done using common image measures as peak signal to noise ratio, mean square error in RGB color space and perceived error in CIELAB color space.