A multi-layered image format for the web with an adaptive layer selection algorithm | Zendy

Milan Tair | Zendy; Aleksandar Mihajlović | Zendy; Nikola Savanović | Zendy; Marko Šarac | Zendy

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A multi-layered image format for the web with an adaptive layer selection algorithm

Author(s) -

Milan Tair,

Aleksandar Mihajlović,

Nikola Savanović,

Marko Šarac

Publication year - 2017

Publication title -

serbian journal of electrical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 5

eISSN - 2217-7183

pISSN - 1451-4869

DOI - 10.2298/sjee161010001t

Subject(s) - image (mathematics) , brightness , visibility , layer (electronics) , selection (genetic algorithm) , algorithm , mathematics , set (abstract data type) , computer science , artificial intelligence , computer vision , physics , optics , chemistry , organic chemistry , programming language

In this paper we present a proposed multi-layered image format for use on the web. The format implements an algorithm for selecting adequate layer images depending on the image container's surroundings and size. The layer selection depends on the weighted average brightness of the underlying web page background within the bounds of the image. The proposed image format supports multiple image layers with adjoined thresholds and activation conditions. Depending on these conditions and the underlying background, a layer's visibility will be adequately set. The selection algorithm takes into account the background brightness, each layer's adjoined threshold values, and other newly introduced layer conditions

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