Abstract

The main idea behind wavelet based demosaicing with spatial refinement is to reconstruct the full resolution color image from the mosaiced image. In this study, a new effective wavelet based demosaicing algorithm for interpolating the missing color components in Bayer’s Color Filter Array (CFA) pattern is proposed. This interpolation technique uses the interchannel correlation among the high frequency subbands to determine the missing pixels in each color channel, followed by a refining step in spatial domain which uses non-iterative technique that enforces color difference rule with fewer computations. As a result, the proposed demosaicing method yields better performance than bilinear, edge based and subband based demosaicing methods.

Highlights

  • INTRODUCTIONThe different approaches have been applied for demosaicing algorithm are as follows: The first category

  • The different approaches have been applied for demosaicing algorithm are as follows: The first categoryDigital cameras use a Charge Coupled Device is the simple non adaptive algorithms such as nearest (CCD) to capture the color signal of objects

  • The main idea behind wavelet based demosaicing with spatial refinement is to reconstruct the full resolution color image from the mosaiced image

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Summary

INTRODUCTION

The different approaches have been applied for demosaicing algorithm are as follows: The first category. The interchannel and intra channel correlation process of reconstructing a full resolution color image The demosaicing algorithms (Altunbasak et al, 2002; Chen et al, 2008; Su and Kao, 2009) mainly uses highly correlated high frequency bands. In Wavelet-based color filter array demosaicing (Chen et al, 2008) starts with the bilinear interpolation which acts as an initial interpolation technique This initial interpolation algorithm uses the intra channel interpolation. The high frequency subbands of missing down-sampled images are interpolated with the help of high frequency components of other known color planes. 24 Kodak images database are used for comparison between various demosaicing methods with the proposed algorithm

WAVELET BASED DEMOSAICING WITH SPATIAL REFINEMENT
Bilinear Interpolation
Edge Adaptive Interpolation
Wavelet Demosaicing
Refining G and R at “10” place
Spatial Refinement
2.11. Wavelet Demosaicing
RESULTS
CONCLUSION

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