IEEE Trans Image Process - Self-similarity and Spectral Correlation Adaptive Algorithm for Color Demosaicking.

Tópicos

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Resumo

Most common cameras use a CCD sensor device measuring a single color per pixel. The other two color values of each pixel must be interpolated from the neighboring pixels in the so-called demosaicking process. State-of-the-art demosaicking algorithms take advantage of inter-channel correlation locally selecting the best interpolation direction. These methods give impressive results except when local geometry cannot be inferred from neighboring pixels or channel correlation is low. In these cases, they create interpolation artifacts. We introduce a new algorithm involving non-local image self-similarity in order to reduce interpolation artifacts when local geometry is ambiguous. The proposed algorithm introduces a clear and intuitive manner of balancing how much channel-correlation must be taken advantage of. Comparison shows that the proposed algorithm gives state-of-the-art methods in several image bases.

Resumo Limpo

common camera use ccd sensor devic measur singl color per pixel two color valu pixel must interpol neighbor pixel socal demosaick process stateoftheart demosaick algorithm take advantag interchannel correl local select best interpol direct method give impress result except local geometri infer neighbor pixel channel correl low case creat interpol artifact introduc new algorithm involv nonloc imag selfsimilar order reduc interpol artifact local geometri ambigu propos algorithm introduc clear intuit manner balanc much channelcorrel must taken advantag comparison show propos algorithm give stateoftheart method sever imag base

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