Abstract:
Disclosed is an apparatus for reducing compression artifacts of a lossy-compressed image. The apparatus may comprise: a feature extraction device comprising a first set of filters configured to extract patches from the lossy-compressed image and map the extracted patches to a first set of high dimensional feature vectors, a feature enhancement device electronically communicated with the feature extraction device and comprising a second set of filters configured to denoise each high dimensional feature vector in the first set and map the denoised high dimensional feature vectors to a second set of high dimensional feature vectors, a mapping device coupled to the feature enhancement device and comprising a third set of filters configured to map nonlinearly each high dimensional vector in the second set onto a restored patch-wise representation, and an aggregating device electronically communicated with the mapping device and configured to aggregate the patch-wise representations to generate a restored clear image.
Abstract:
단말기를 이용하여 촬영한 타이어 이미지를 통해 타이어를 인식하는 방법 및 그 장치가 개시된다. 타이어 인식 장치는 촬영 이미지 내 원형의 타이어 부분을 일자형태 이미지로 변환하고, 일자형태 이미지 내 인식대상 글자영역을 추출한 후 기 구축된 학습 글자 군에서 상기 추출한 인식대상 글자영역과 가장 유사한 학습 글자를 상기 인식대상 글자영역의 글자로 파악하여 타이어를 인식한다.
Abstract:
A method for image processing is provided comprising: detecting a rectangular image region (RIR) in one of a plurality of images while the plurality of images is being received; obtaining a coordinate corresponding to the detected RIR; and storing in a memory the coordinate and a link associating the coordinate with the image in which the RIR is detected.
Abstract:
In one embodiment, a method includes receiving a digital image captured by a mobile device; and using a processor of the mobile device: generating a first representation of the digital image, the first representation being characterized by a reduced resolution; generating a first feature vector based on the first representation; comparing the first feature vector to a plurality of reference feature matrices; and classifying an object depicted in the digital image as a member of a particular object class based at least in part on the comparing.
Abstract:
Embodiments of a processing systems and methods can unbend an image of facing pages of a bound book. An exemplary processing system can comprise an edge-detection unit, a keystone-correction unit, a flattening unit, and a conversion unit. After an image is received by the processing system, the image can be processed in turn by each unit. The edge-detection unit can identify edges of a document in the image. The keystone-correction unit can reduce or remove keystoning in the image, thereby correcting horizontal distortion of the document. The flattening unit can flatten or straighten text or objects in the image, thereby correcting vertical distortion of the document. The conversion unit can convert the image to a desired color profile. Accordingly, the processing system can process an original image into a more easily readable and digitally manipulable image.
Abstract:
La présente invention concerne un procédé et dispositif pour obtenir une image d'un document défroissé à partir d'une image de ce document lorsqu'il est froissé. Le procédé comportant une étape de détermination d'un modèle géométrique tridimensionnel de la surface du document froissé par triangulation de points tridimensionnels définis à partir du motif d'une mire extrait de l'image de ce document lorsqu'il est froissé, le procédé est caractérisé en ce qu'il comporte une étape de détermination d'une projection du modèle géométrique tridimensionnel sur un plan, dit d'acquisition, par minimisation d'erreur de cette projection sous contraintes de conservation de caractéristiques géométriques définies au voisinage des points tridimensionnels, et en ce qu'il comporte une étape de plaquage des textures associées au modèle géométrique tridimensionnel sur la projection de ce modèle ainsi déterminée. La présente invention concerne également des motifs de mire qui permettent d'améliorer la qualité de l'image résultante du procédé et/ou de diminuer le coût de calcul de cette image.
Abstract:
A sensing apparatus. for a host vehicle or the like, the apparatus comprises sensing means arranged to capture a first dataset of digital data comprising a set of data points representative of an image of a scene around the host vehicle, said image including at least one salient feature; first data processing means arranged to identify a subset of the data points which correspond to the at least one salient feature, and second data processing means arranged to apply a transformation to the subset of data points to produce a processed subset which corresponds to a digital image of the salient features in the scene that has been corrected for at least one type of distortion in the image
Abstract:
Procédé de sélection de zone de numérisation par une caméra (CN), de correction de la déformation projective, d'amélioration de la résolution, puis de binarisation, comprenant les phases opératoires suivantes : la réalisation d'un contour fermé (DC) dans le document à traiter (O) ou autour du document à traiter (O), réalisé manuellement ou imprimé, la présentation du document à traiter (O) devant la caméra (CN) sous une incidence quelconque de manière que le susdit contour soit entièrement visible dans l'image présente sur l'écran de visualisation (AF), l'acquisition de l'image et la recherche de contour dans l'image, le calcul des déformations projectives (bloc CC), l'extraction et la fusion des contenus des images, la génération de l'image finale.
Abstract:
A method, system and computer program product for detecting an object within a frame, the method comprising: receiving calibration parameters of a camera; obtaining four or more salient points of an object model, wherein a plane containing the salient points is at an arbitrary position relatively to a frame view of the camera; determining a projection of each of the at least four salient feature points onto the frame view of the camera, thus determining a quadrilateral in frame coordinates; determining a transformation for transforming the quadrilateral into a rectangle having edges parallel to edges of frames captured by the camera; receiving at least a part of the frame captured by the camera; applying the transformation to the at least part of the frame to obtain a rectangular search area having edges parallel to edges of the frame; and detecting an object within the rectangular search area.