Byungki Cha

发表

Fuzzy-rule-embedded reduction image construction method for image enlargement with high magnification

Hideaki Kawano, Noriaki Suetake, Byungki Cha, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Fast Minimum-Spanning-Tree-like Image Segmentation

Hideaki Kawano, Noriaki Suetake, Byungki Cha, 2008 .

Image Enlargement Based on a Mapping from Low- to High-Frequency Components Constructed by LS-SVM

Hideaki Kawano, Noriaki Suetake, Byungki Cha, 2007, IMECS.

Image enlargement with high-frequency component augmentation based on predefined codebook describing edge blurring properties

Noriaki Suetake, Byungki Cha, Takashi Aso, 2010 .

Local Search Algorithms for Partial MAXSAT

Byungki Cha, Yahiko Kambayashi, Shuichi Miyazaki, 1997, AAAI/IAAI.

Adding New Clauses for Faster Local Search

Byungki Cha, Kazuo Iwama, 1996, AAAI/IAAI, Vol. 1.

A Color Quantization Based on Vector Error Diffusion and Particle Swarm Optimization Considering Human Visibility

Hideaki Kawano, Noriaki Suetake, Byungki Cha, 2015, PSIVT.

A color quantization method preserving infrequent salient colors and its implementation on mobile devices

Byungki Cha, Takashi Aso, Ryosuke Kubota, 2019, Other Conferences.

3D Animation Watermarking Using PositionInterpolator

Byungki Cha, Ki-Ryong Kwon, Suk Hwan Lee, 2006, MRCS.

Performance Test of Local Search Algorithms Using New Types of Random CNF Formulas

Byungki Cha, Kazuo Iwama, 1995, IJCAI.

Image Enlargement Based on Low- to High-frequency Components Mapping Derived from Self-decomposed Images

Hideaki Kawano, Noriaki Suetake, Byungki Cha, 2008 .

Sharpness preserving image enlargement by using self-decomposed codebook and Mahalanobis distance

Hideaki Kawano, Noriaki Suetake, Byungki Cha, 2009, Image Vis. Comput..

Fast Minimum-Spanning-Tree-like Based Image Segmentation

Hideaki Kawano, Noriaki Suetake, Byungki Cha, 2008, 2008 Fourth International Conference on Natural Computation.