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Discrete Wavelet Transform on Color Picture Interpolation of Digital Still Camera

机译:数码相机彩色图像插值的离散小波变换

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Many people use digital still cameras to take photographs in contemporary society. Significant amounts of digital information have led to the emergence of a digital era. Because of the small size and low cost of the product hardware, most image sensors use a color filter array to obtain image information. However, employing a color filter array results in the loss of image information; thus, a color interpolation technique must be employed to retrieve the original picture. Numerous researchers have developed interpolation algorithms in response to various image problems. The method proposed in this study involves integrating discrete wavelet transform (DWT) into the interpolation algorithm. The method was developed based on edge weight and partial gain characteristics and uses the basic wavelet function to enhance the edge performance and processes of the nearest or larger and smaller direction gradients. The experiment results were compared to those of other methods to verify that the proposed method can improve image quality.
机译:许多人使用数码相机在当代社会中拍照。大量的数字信息导致了数字时代的出现。由于产品硬件的体积小且成本低,大多数图像传感器都使用滤色器阵列来获取图像信息。但是,采用彩色滤光片阵列会导致图像信息丢失。因此,必须采用颜色插值技术来检索原始图片。许多研究人员已经开发出插值算法以应对各种图像问题。本研究提出的方法涉及将离散小波变换(DWT)集成到插值算法中。该方法是基于边缘权重和部分增益特性而开发的,并使用基本的小波函数来增强边缘性能以及最接近或更大或更小的方向梯度的处理。将实验结果与其他方法进行比较,以验证所提出的方法可以改善图像质量。

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