Feature Based Image Manipulation

S. Gopika, P. Mintu
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Abstract

This paper presents a method for feature-based image representation. In the proposed method, an image is decomposed into a skeleton component and a residual component. The skeleton component is obtained by performing iterative linear interpolation based on high-curvature points, which are extracted from the image surface. These points help in representing the image through a compact and reversible way. The residual component shows the difference between reconstructed component and the original image. The compact representation offers an encrypted and compressed form which can be transmitted over blue-tooth to other devices. Proper authentication offers one more level of security. By efficient manipulation, several applications, such as adaptive contrast enhancement, achromatic information modification and shape editing can be achieved.
基于特征的图像处理
提出了一种基于特征的图像表示方法。该方法将图像分解为骨架分量和残差分量。对图像表面提取的高曲率点进行迭代线性插值得到骨架分量。这些点有助于通过紧凑和可逆的方式表示图像。残差分量表示重建分量与原始图像之间的差异。紧凑的表示提供了一种加密和压缩的形式,可以通过蓝牙传输到其他设备。正确的身份验证提供了更高级别的安全性。通过有效的操作,可以实现自适应对比度增强、消色差信息修改和形状编辑等应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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