A new CFA interpolation framework
Signal Processing
Joint color decrosstalk and demosaicking for CFA cameras
IEEE Transactions on Image Processing
Software pixel interpolation for digital still cameras suitable for a 32-bit MCU
IEEE Transactions on Consumer Electronics
New joint demosaicing and zooming algorithm for color filter array
IEEE Transactions on Consumer Electronics
Color plane interpolation using alternating projections
IEEE Transactions on Image Processing
Color Demosaicing Using Variance of Color Differences
IEEE Transactions on Image Processing
Adaptive Filtering for Color Filter Array Demosaicking
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Effective color interpolation in CCD color filter arrays using signal correlation
IEEE Transactions on Circuits and Systems for Video Technology
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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 edgeweight 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.