16 research outputs found

    Red-Eyes Removal through Cluster-Based Boosting on Gray Codes

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    Since the large diffusion of digital camera and mobile devices with embedded camera and flashgun, the redeyes artifacts have de facto become a critical problem. The technique herein described makes use of three main steps to identify and remove red eyes. First, red-eye candidates are extracted from the input image by using an image filtering pipeline. A set of classifiers is then learned on gray code features extracted in the clustered patches space and hence employed to distinguish between eyes and non-eyes patches. Specifically, for each cluster the gray code of the red-eyes candidate is computed and some discriminative gray code bits are selected employing a boosting approach. The selected gray code bits are used during the classification to discriminate between eye versus non-eye patches. Once red-eyes are detected, artifacts are removed through desaturation and brightness reduction. Experimental results on a large dataset of images demonstrate the effectiveness of the proposed pipeline that outperforms other existing solutions in terms of hit rates maximization, false positives reduction, and quality measure

    An Adaptive Global Enhancement Pipeline for Low Cost Imaging Sensors

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    The paper describes a suitable algorithms pipeline able to enhance the picture quality of low cost imaging sensors, typically present in consumer devices (i.e. mobile phone, web-cams, PDA, etc) and accounts for compression artifacts, chromatic and geometric distortions, wrong exposure and poor sharpness

    Jbig for printer pipelines a compression test

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    The proposed paper describes a compression test analysis of JBIG standard algorithm. The aim of such work is to proof the effectiveness of this standard for images acquired through scanners and processed into a printer pipeline. The main issue of printer pipelines is the necessity to use a memory buffer to store scanned images for multiple prints. This work demonstrates that for very large scales the buffer can be fixed using medium compression case, using multiple scans in case of uncommon random patterns. Document type: Part of book or chapter of boo
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