Lines Matching full:images

104 objects from still images or video. See <http://en.wikipedia.org/wiki/Inpainting> for more details.
132 This function expected to be applied to grayscale images. For colored images look at
159 This function expected to be applied to grayscale images. For colored images look at
170 /** @brief Modification of fastNlMeansDenoising function for colored images
182 @param hColor The same as h but for color components. For most images value equals 10
192 …brief Modification of fastNlMeansDenoising function for images sequence where consequtive images h…
194 images or for manual manipulation with colorspaces. For more details see
198 4-channel images sequence. All images should have the same type and
201 @param temporalWindowSize Number of surrounding images to use for target image denoising. Should
202 be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
205 @param dst Output image with the same size and type as srcImgs images.
219 …brief Modification of fastNlMeansDenoising function for images sequence where consequtive images h…
221 images or for manual manipulation with colorspaces. For more details see
225 2-channel, 3-channel or 4-channel images sequence. All images should
228 @param temporalWindowSize Number of surrounding images to use for target image denoising. Should
229 be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
232 @param dst Output image with the same size and type as srcImgs images.
250 /** @brief Modification of fastNlMeansDenoisingMulti function for colored images sequences
252 @param srcImgs Input 8-bit 3-channel images sequence. All images should have the same type and
255 @param temporalWindowSize Number of surrounding images to use for target image denoising. Should
256 be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
259 @param dst Output image with the same size and type as srcImgs images.
270 The function converts images to CIELAB colorspace and then separately denoise L and AB components
290 with, we consider the 1-byte gray-level images as the functions from the rectangular domain of
293 \f$m,\;n\in\mathbb{N}\f$) into \f$\{0,1,\dots,255\}\f$. We shall denote the noised images as \f$f_i…
308 (blurred) images are treated more favorably than detailed (but maybe more noised) ones. Roughly
475 /** @brief The base class for algorithms that align images of the same scene with different exposur…
480     /** @brief Aligns images
482     @param src vector of input images
483     @param dst vector of aligned images
486     have the same number of channels as images.
492 /** @brief This algorithm converts images to median threshold bitmaps (1 for pixels brighter than m…
509     @param src vector of input images
510     @param dst vector of aligned images
514 …/** @brief Calculates shift between two images, i. e. how to shift the second image to correspond …
552 @param cut if true cuts images, otherwise fills the new regions with zeros.
563     @param src vector of input images
572 in all images, extra term is added to make the result smoother.
628     /** @brief Merges images.
630     @param src vector of input images
634     have the same number of channels as images.
657 …brief Pixels are weighted using contrast, saturation and well-exposedness measures, than images are
675     @param src vector of input images
726 This function is to be applied on color images.