Open AccessBilateral frame rate upconversion algorithm based on image texture complexity compensation
Author(s) -
Lee Kangjun,
Jeong Jechang
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.1127
Subject(s) - algorithm , computer science , frame (networking) , image (mathematics) , frame rate , computational complexity theory , artificial intelligence , process (computing) , computer vision , texture (cosmology) , compensation (psychology) , motion estimation , image texture , function (biology) , image processing , telecommunications , psychology , evolutionary biology , psychoanalysis , biology , operating system
A new bilateral frame rate upconversion algorithm using the image texture complexity characteristic is proposed. In the proposed algorithm, as the cost function is adjusted according to the image texture complexity, the accuracy of motion estimation (ME) is improved. In the experimental results, the proposed algorithm outperforms the conventional bilateral ME process by 0.32 dB.