Papers by Keyword: Color Space Conversion

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Authors: Hang Jun Yang, Jian Wang, Xiao Yong Ji
Abstract: Color space conversion (CSC) is an important kernel in the area of image and video processing applications including video compression. CSC is a compute-intensive time-consuming operation that consumes up to 40% of processing time of a highly optimised decoder. Several hardware and software implementations for CSC have been found. Hardware implementations can achieve a higher performance compared with software-only solutions. However, the flexibility of software solutions is desirable for various functional requirements and faster time to market. Multicore processors, especially programmable GPUs, provide an opportunity to increase the performance of CSC by exploiting data parallelism. In this paper, we present a novel approach for efficient implementation of color space conversion. The proposed approach has been implemented and verified using computed unified device architecture (CUDA) on graphics hardware. Our experiments results show that the speedup of up to 17× can been obtained.
505
Authors: Ching Yi Chen, Ching Han Chen, Chih Hao Ma, Po Yi Wu
Abstract: 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.
3015
Authors: Dong Bo Zhou, Ji Cai Deng, Geng Hui Wang, Qi Xin Deng
Abstract: In the Martial Arts arena contest of robot, Humanoid robot should recognize the target timely and accurately. So robot vision technology becomes a key of the contest. In this paper, target recognition algorithms based on color information are analyzed. According to the results, an improved algorithm based on Table Lookup method is proposed, which aimed to provide more rapidity of computing in real-time control system on the robot. It is shown in illustrative experiment that average 50% time was saved in computing when using the new algorithm instead of traditional algorithms.
1043
Authors: Hai Sheng Chen, Bao Lin Tang, Guang Xue Chen, Shuang Shuang Wen
Abstract: In the publishing and printing applications, hidden data is embedded into images for copyright protection and ownership generally. In this paper, a reasonable data hiding method based on noise-balanced error diffusion (NBEDF) is proposed, which is applied in color halftone image. Color image is firstly separated into grayscale images from RGB color space to CMYK color space. Secondly, Floyd-Steinberg error diffusion operator is used, and halftone images will be obtained. Finally,through NBEDF, hidden data is embedded in the halftone image which contains the largest amount of information. The experimental results show that hidden information can be visible , when the corresponding decoded image overlays the color image with hidden information. The data hiding method proposed in this paper can be well applied on security printing.
1900
Authors: Jong Wan Seo, Myung Chul Shin
Abstract: A color space used to create color on a computer monitor or a television screen is RGB color space. However, RGB color space is strongly related to each other, therefore RGB color space is inadequate for adjustment of brightness or contrast. Moreover RGB color space is not suitable for pattern recognition. For this reason, it is needed that color space conversion from RGB to YIQ, YUV or YCrCb. The color space conversion matrix consists of 3 by 3 matrix element that is represented by floating point numbers. However RGB or YUV color space is in integer domain. Therefore these transform lead to lose the least significant bit (LSB) of color space. We propose the simple and fast reversible transform matrix. No lose the least significant bit (LSB) and not required multiplication but shift and addition that provides for real time conversion of huge image.
1297
Authors: Long Wen, Cheng Xu, Tao Li, Zheng Tian
Abstract: The HSV (Hue, Saturation, and Value) color model is more intuitive than the RGB color model and widely used in color recognition and color space segmentation. Currently as the requirements of high processing speed and special applications need to realize RGB to HSV color space conversion, in this paper a new Field Programmable Gate Array (FPGA) architecture named RGB2HSV module was developed via an accurate and visible FPGA implementation method in use of Xilinx System Generator (XSG). XSG is a design tool in Simulink of MATLAB which accelerates design by providing access to highly parameterized intellectual blockset for Xilinx FPGA. In this paper simulation test images were used to measure the deviation and the time consume by the RGB2HSV module and relevant C program. Experiment shows that the maximum frequency can reach 121.433MHz and lower deviation was achieved in Xilinx Zynq xc7z020 device. The full-pipelined and parallel RGB2HSV module had been adapted in order to speed up the RGB to HSV color space conversion and took as much as 87% less than that of C program in our experiment.
527
Authors: Chao Xue, Yi Zhong Yu
Abstract: Aiming at the wide color gamut feature of the Laser TV, Color gamut transform using matrix transformations is proposed.And the conversion results are optimized by using median filtering.the theory of the median filtering and matrix transformation is introduced in this paper. Gamut conversion model of laser video signal is built based on FPGA.The function and realization of each model in the circuit is analyzed and the simulation test is conducted finally. The results verify that gamut conversion algorithm can convert the fluorescent domain video signal to the laser-domain video signal. The color video signal can reappear in the Laser TV clearly.
1904
Authors: Xin Wu Li
Abstract: Color space conversion for color digital camera is a key and difficult technique in the color reproduction information optics. A new color space conversion model based on subsectional fitting to correct color conversion error camera image is presented. First, color error sources and color rendering mechanism are analyzed in theory; then the paper takes standard color target for experimental sample and substitutes color blocks in color shade district for complete color space to solve the difficulties of experimental color blocks selecting; third the model uses subsectional fitting algorithm to built three dimension color conversion curve to correct color conversion error; Finally the experimental results show that the model can color space conversion accuracy of color digital camera and can be used in color conversion for digital camera practically.
466
Authors: Chuan Zhi, Zhi Jian Li, Yi Shi
Abstract: The nature of device color characteristic methods is the mutual conversion of device-dependent color space and device-independent color space. This paper does the comparative study on the robustness of some color space conversion methods which are based on fuzzy control, dynamic subspace divided BP neural network identification method, and fuzzy and neural identification method, by defining the robustness of color space conversion model and evaluation method. The result shows that the device color characteristic methods which are based on fuzzy and neural identification method can make the feature of BP neural network combine with fuzzy control to greatly improve the robustness of model.
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Authors: Cong Jun Cao, Qiang Jun Liu
Abstract: The conversions of color spaces are core techniques of modern ICC color management and the study of color space conversion algorithm between L*a*b* and CMYK is valuable both in theory and in application. In this paper, firstly ECI2002 standard color target data are uniformly selected, including modeling data and testing data; secondly the models of color space conversions from CMYK to L*a*b* and from L*a*b* to CMYK are built based on Radial Basis Function (RBF) neural network; finally the precision of the models are evaluated. This research indicates that the RBF neural network is suitable for the color space conversions between CMYK and L*a*b*. The models’ building processes are simpler and more convenient; the network has fast training speed and good results. With the improvement of the modeling method, this method for color space conversion will have a broader application.
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