AUTOMATIC DESIGN OF SHIFT-AND-ADD BASED COLOR SPACE CONVERTER USING A GENETIC ALGORITHM

2013 ◽  
Vol 37 (3) ◽  
pp. 959-970
Author(s):  
Ching-Yi Chen ◽  
Ching-Han Chen ◽  
Chih-Hao Ma ◽  
Po-Yi Wu
Keyword(s):  
Genetic Algorithm ◽  
High Speed ◽  
Design Method ◽  
Color Space ◽  
Low Complexity ◽  
Automatic Design ◽  
Low Area ◽  
Color Space Conversion ◽  
Color Conversion ◽  
Novel Design

The main purpose of this paper is to investigate a novel design method using a genetic algorithm (GA) to automatically evolve the multiplierless CSC circuit architecture. In order to demonstrate the effectiveness of the described design method, several test images are adopted respectively to perform RGB to YCbCr color conversion experiment. The experimental results represent that the performance of the implemented hardware architecture is good when carrying out color space conversion from RGB to YCbCr. It also has the advantage of being high-speed, low-complexity, and low-area.

An Efficient Genetic Encoding Scheme for Multiplierless Color Space Converter Design

2013 ◽  
Vol 284-287 ◽  
pp. 3015-3019
Author(s):  
Ching Yi Chen ◽  
Ching Han Chen ◽  
Chih Hao Ma ◽  
Po Yi Wu
Keyword(s):  
Video Compression ◽  
Video Processing ◽  
High Speed ◽  
Color Space ◽  
Low Complexity ◽  
Evolvable Hardware ◽  
Low Area ◽  
Design And Synthesis ◽  
Ycbcr Color Space ◽  
Field Programmable

Color space conversion has become a very important role in image and video processing systems. To speed up some processing processes, many communication and multimedia video compression schemes use luminance-chrominance type color spaces, such as YCbCr or YUV, making a mechanism for converting between different formats necessary. Therefore, techniques which efficiently implement this conversion are desired. For the recent years, a new field of research called Evolvable Hardware (EHW) has emerged which combines aspects of evolutionary computation with hardware design and synthesis. It is a new scheme inspired by natural evolution, for automatic design of hardware systems. This paper presents a novel evolutionary approach for efficient implementation of a RGB to YCbCr color space converter suitable for Field Programmable Gate Array (FPGAs) and VLSI. In the proposed method, we use the genetic algorithm to automatically evolve the multiplierless architecture of the color space converter. The architecture employs only a few shift and addition operations to replace the complex multiplications. The experimental results represent that the performance of implemented architecture is good at RGB to YCbCr color space converting, and it also has the advantages of high-speed, low-complexity, and low-area.

Comparator Synthesis Using Distributed Genetic Algorithm and HSPICE Optimization

2019 ◽  
Vol 888 ◽  
pp. 17-28
Author(s):  
Nobukazu Takai ◽  
Kento Suzuki ◽  
Yoshiki Sugawara
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Design Method ◽  
Automatic Design ◽  
Circuit Topology ◽  
Target Value ◽  
Distributed Genetic Algorithm ◽  
Better Than

In this paper, we propose an automatic design method that determines comparator topology and satisfies desired specification of the comparator by combining distributed genetic algorithm and HSPICE optimization function.In the comparator synthesis, new topology is created using known circuit topology information.After creating the topology, optimization of element values of the comparator is executed by distributed genetic algorithm and HSPICE optimization.As a target value example, specification of HA163S02 is used.Simulation results indicate that the proposed method can design the comparator despite the number of specifications and elements of circuit increase compared to the conventional methods.Furthermore, the performance of the automatic designed comparator is better than that of conventional comparators.

A novel design method of the impact zone of a high-speed train

2020 ◽  
pp. 1-10
Author(s):  
Hui Zhao ◽  
Ping Xu ◽  
Shihong Jiang ◽  
Benhuai Li ◽  
Shuguang Yao ◽  
...  
Keyword(s):  
High Speed ◽  
Design Method ◽  
High Speed Train ◽  
Impact Zone ◽  
The Impact ◽  
Novel Design

Fuzzy Enhancement Method for Color Medical Images Based on Color Space Conversion

2013 ◽  
Vol 380-384 ◽  
pp. 3706-3709 ◽  
Author(s):  
Liang Hua ◽  
Zhen Tao Zhou ◽  
Ji Yang ◽  
Hao Feng ◽  
Li Jun Ding ◽  
...  
Keyword(s):  
Set Theory ◽  
Fuzzy Set Theory ◽  
High Speed ◽  
Medical Images ◽  
Color Space ◽  
Transformation Method ◽  
Inverse Transformation ◽  
Color Space Conversion ◽  
Fuzzy Enhancement ◽  
Enhancement Method

A new fuzzy enhancement method is put forward in the paper combining with Young-Helmholtz (Y-H) color space and fuzzy set theory. Color images with RGB tri-channels are transformed into Y-H color space by using Greaves transformation method. The colors image could be decomposed into chromaticity numbers matrix and intensity numbers matrix. The intensity numbers matrix is processed by using fuzzy enhancement arithmetic, while chromaticity numbers matrix keeps invariant. The primary chromaticity numbers matrix and enhanced intensity numbers matrix are processed by using Y-H inverse transformation. The method put forward in the paper have characteristics of efficiency, convenience and high speed. The method can achieve enhancement for color medical images without changing hue and saturation.

Sign in / Sign up

Export Citation Format

Share Document