Catadioptric images compression using an adapted neighborhood and the shape-adaptive DCT
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-08536-7.pdf
Reference35 articles.
1. Alouache D, Ameur Z, Kachi D (2014, April) An adapted block-matching method for optical flow estimation in catadioptric images. In: 2014 international conference on multimedia computing and systems (ICMCS), IEEE, pp 69–74
2. Alouache DJ, Ameur Z, Kachi DJ (2014) Motion estimation for omnidirectional images using the adapted block-matching. IJIGSP 6(9):20–26. https://doi.org/10.5815/ijigsp.2014.09.03
3. Amiri SA, Hassanpour H (2018) Image compression using JPEG with reduced blocking effects via adaptive down-sampling and self-learning image sparse representation. Multimed Tools Appl 77(7):8677–8693
4. Baker S, Nayar SK (1999) A theory of single-viewpoint catadioptric image formation. Int J Comput Vis 35(2):175–196
5. Barreto JP, Araujo H (2002, May) Geometric properties of central catadioptric line images. In: European conference on computer vision. Springer, Berlin/Heidelberg, pp 237–251
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