像素
算法
计算机科学
缩放比例
计算机视觉
图像缩放
现场可编程门阵列
数字图像
图像质量
特征检测(计算机视觉)
平滑度
人工智能
图像处理
图像(数学)
GSM演进的增强数据速率
数学
计算机硬件
数学分析
几何学
作者
Chun‐Ho Kim,Si-Mun Seong,Jin-Aeon Lee,Lee‐Sup Kim
标识
DOI:10.1109/tcsvt.2003.813431
摘要
We propose a new scaling algorithm, winscale, which performs the scale up/down transform using an area pixel model rather than a point pixel model. The proposed algorithm has low complexity: the algorithm uses a maximum of four pixels of an original image to calculate one pixel of a scaled image. Nevertheless, the algorithm has good characteristics such as fine-edge and changeable smoothness. We implemented a hardware design of winscale using an FPGA and displayed some test scenes in an liquid crystal display panel using a digital visual interface. The hardware cost and the image quality were compared with those of the conventional image scaling algorithms. It is proved that winscale has good scale property with low complexity. Winscale can be used in various digital display devices that need image scaling, especially in applications that require good image quality with low hardware cost.
科研通智能强力驱动
Strongly Powered by AbleSci AI