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We present new data processing techniques that allow to correct the maininstrumental effects that degrade the images obtained by ISOCAM, the camera onboard the Infrared Space Observatory (ISO). Our techniques take advantage ofthe fact that a position on the sky has been observed by several pixels atdifferent times. We use this information (1) to correct the long term variationof the detector response, (2) to correct memory effects after glitches andpoint sources, and (3) to refine the deglitching process. Our new method allowsthe detection of faint extended emission with contrast smaller than 1% of thezodiacal background. The data reduction corrects instrumental effects to thepoint where the noise in the final map is dominated by the readout and thephoton noises. All raster ISOCAM observations can benefit from the dataprocessing described here. These techniques could also be applied to otherraster type observations (e.g. ISOPHOT or IRAC on SIRTF).Comment: 13 pages, 10 figures, to be published in Astronomy and Astrophysics  Supplement Serie

Optimizing ISOCAM data processing using spatial redundancy