Automatic content aware non-photorealistic rendering of images

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dc.contributor.author Patil, Akshay Gadi
dc.contributor.author Raman, Shanmuganathan
dc.date.accessioned 2016-04-13T14:02:06Z
dc.date.available 2016-04-13T14:02:06Z
dc.date.issued 2016-04
dc.identifier.citation Patil, Akshay Gadi and Raman, Shanmuganathan“Automatic content aware non-photorealistic rendering of images”, arXiv, Cornell University Library, DOI: arXiv:1604.01962, Apr. 2016. en_US
dc.identifier.other http://arxiv.org/abs/1604.01962
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/2150
dc.description.abstract Non-photorealistic rendering techniques work on image features and often manipulate a set of characteristics such as edges and texture to achieve a desired depiction of the scene. Most computational photography methods decompose an image using edge preserving filters and work on the resulting base and detail layers independently to achieve desired visual effects. We propose a new approach for content-aware non-photorealistic rendering of images where we manipulate the visually salient and the non-salient regions separately. We propose a novel content-aware framework in order to render an image for applications such as detail exaggeration, image abstraction, and artificial blurring. The processed regions of the image are blended seamlessly for all these applications. We demonstrate that content awareness of the proposed method leads to automatic generation of non-photorealistic rendering of the same image for the different applications mentioned above. en_US
dc.description.statementofresponsibility by Akshay Gadi Patil and Shanmuganathan Raman
dc.language.iso en_US en_US
dc.publisher Cornell University Library en_US
dc.subject Computer Vision en_US
dc.subject Rendering of Images en_US
dc.subject Pattern Recognition en_US
dc.subject Non-photorealistic en_US
dc.title Automatic content aware non-photorealistic rendering of images en_US
dc.type Preprint en_US


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