Portion of a Landsat TM scene (Bands 3, 2, 1 as RGB) with normalized contrast enhancement. Dark lava flows and bright salt flats reveal little local detail. Same scene with the RGB LACE filter applied with Normalized input redistribution. The final image is a weighted average of the LACE filter output (90%) and the original image (10%). Enhanced contrast in dark and light areas brings out signi...

Capturing natural scenes with high dynamic range content using conventional RGB cameras generally results in saturated and underexposed and therefore compromising image areas. Furthermore the image lacks color accuracy due to a systematic color error of the RGB color filters. The problem of the limited dynamic range of the camera has been addressed by high dynamic range imaging (HDRI): Several ...

We present a method to give (fused) multiband night-time imagery a natural day-time colour appearance. For input, the method requires a false colour RGB image that is produced by mapping three individual bands (or the first three principal components) of a multiband nightvision system to the respective channels of an RGB image. The false colour RGB nightvision image is transformed into a percep...

introduction:.color is the first quality attribute of food evaluated by consumers, and is therefore an important quality component of food which influences consumer’s choice and preferences (maguire, 1994). color measurement of food products has been used as an indirect measure of other quality attributes such as flavor and contents of pigments because it is simpler, faster and correlates well ...

Digital image representation is perceptually uniform if a small perturbation of a component value – such as the digital code value used to represent red, green, blue, or luminance – produces a change in light output at a display that is approximately equally perceptible across the range of that value. Most digital image coding systems – including sRGB (used in desktop graphics), BT.709 (used in...

Abstract. We report a calculation reduction method for color computer-generated holograms (CGHs) using color space conversion. Color CGHs are generally calculated on RGB space. In this paper, we calculate color CGHs in other color spaces: for example, YCbCr color space. In YCbCr color space, a RGB image is converted to the luminance component (Y), blue-difference chroma (Cb) and red-difference ...

ion levels for image fusion The fusion of an image series can take place on different abstraction levels (Fig. 1): • Within a data-level fusion (pixel-level fusion), the combination takes place at the level of the image data, i.e. the gray or RGB values. The precondition of a data fusion is that the images have been recorded with homogeneous sensors.

CMYK vs. RGB Color images are printed on paper by separating their colors into four component parts: cyan, magenta, yellow, and black ( CMYK ). Each of the colors in an image is created by assigning a percentage from 0–100 to each of the aforementioned colors (for example, a red color could be created from 0% cyan, 100% yellow, 100% magenta, and 0% black). The color image is then printed on a m...

In this chapter, we propose a pixel adjustment procedure for digital watermarking methods using uniform color space. Many digital watermarking methods use uniform color space due to the convenience of controlling image quality (Yoshiura & Echizen, 2006). However, there is the problem that watermarked RGB integer pixel values in such methods are not quite corresponding to the watermarked real-nu...

In the recent years, 3D city reconstruction is one of the active researches in the field of photogrammetry. The goal of this work is to improve and extend region growing based segmentation in the X-Y-Z image in the form of 3D structured data with combination of spectral information of RGB and grayscale image to extract building roofs, streets and vegetation. In order to process 3D point clouds,...