TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Subaperture image segmentation for lossless compression

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017
KustantajaIEEE
Sivut1-6
Sivumäärä6
ISBN (elektroninen)9781538618417
DOI - pysyväislinkit
TilaJulkaistu - 8 maaliskuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Image Processing Theory, Tools and Applications - Montreal, Kanada
Kesto: 28 marraskuuta 20171 joulukuuta 2017

Conference

ConferenceInternational Conference on Image Processing Theory, Tools and Applications
MaaKanada
KaupunkiMontreal
Ajanjakso28/11/171/12/17

Tiivistelmä

The paper proposes an image segmentation method for lossless compression of plenoptic images. Each light-field image captured by the plenoptic camera is processed to obtain a stack of subaperture images. Each subaperture image is encoded by using a gradient-base detector which classifies the image edges and designs refined contexts for an improved prediction and segmentation. The paper's main contribution is a new segmentation method which generates a preliminary segmentation, either by scaling the intensity differences or by using a quantum cut based algorithm, and merges it with an edge ranking-based segmentation. The results show around 2% improved performance compared to the state-of-the-art for a dataset of 118 plenoptic images.