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The image modification process is sometimes called color transfer or, when grayscale images are involved, brightness transfer function (BTF); it may also be called photometric camera calibration or radiometric camera calibration. The term image color transfer is a bit of a misnomer since most common algorithms transfer both color and shading ...
In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to ...
In computer graphics, color quantization or color image quantization is quantization applied to color spaces; it is a process that reduces the number of distinct colors used in an image, usually with the intention that the new image should be as visually similar as possible to the original image.
In digital image and video processing, a color layout descriptor (CLD) is designed to capture the spatial distribution of color in an image. [1] The feature extraction process consists of two parts: grid based representative color selection and discrete cosine transform with quantization.
Color moments are measures that characterise color distribution in an image in the same way that central moments uniquely describe a probability distribution. Color moments are mainly used for color indexing purposes as features in image retrieval applications in order to compare how similar two images are based on color.
Digital image processing is the application of signal processing techniques to the domain of images — two-dimensional signals such as photographs or video.Image processing does typically involve filtering or enhancing an image using various types of functions in addition to other techniques to extract information from the images.