Efficient Image Processing for Increased Resolution and Color Correctness of CMOS Image Sensors
RoboCup 2001: Robot Soccer World Cup V
Demosaic: Color Filter Array Interpolation for Digital Cameras
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Demosaicing of Colour Images Using Pixel Level Data-Dependent Triangulation
TPCG '03 Proceedings of the Theory and Practice of Computer Graphics 2003
Demosaicing of images obtained from single-chip imaging sensors in YUV color space
Pattern Recognition Letters
A new CFA interpolation framework
Signal Processing
Color image coding using regional correlation of primary colors
Image and Vision Computing
Practical implementation of LMMSE demosaicing using luminance and chrominance spaces
Computer Vision and Image Understanding
High quality color interpolation for color filter array with low complexity
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
A new approach to camera image indexing
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
On a generalized demosaicking procedure: a taxonomy of single-sensor imaging solutions
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Journal of Visual Communication and Image Representation
Discrete wavelet transform on color picture interpolation of digital still camera
VLSI Design - Special issue on Advanced VLSI Design Methodologies for Emerging Industrial Multimedia and Communication Applications
| Hi-index | 0.43 |
This paper discusses the interpolation technique applied to the Bayer primary color method, used frequently as the pixel structure of CCD image sensors for digital still cameras. Eight typical types of interpolation methods are discussed from three viewpoints: the characteristics of the interpolated images, the processing time required to realize their methods based on a 32-bit MCU for embedded applications, and the quality of the resultant images. In terms of reducing the occurrences of pseudocolor and achieving good color restoration, the linear interpolation method taking G's correlation determined by using R/B pixels into consideration was found to be excellent. The measured machine cycle of the interpolation methods was approximately 46 cycles per pixel. Therefore, every method was able to interpolate a VGA-size image in approximately 0.2 seconds with the MCU operating at 60 MHz. In terms of the S/N ratio, a good image quality was obtained through the linear interpolation methods, even with shorter processing time. Based on these results it is concluded that the linear interpolation method, which takes correlation into consideration, is the most suitable for consumer product applications such as digital still cameras