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Cloud covers, which generally appear in optical remote sensing images, limit the use of collected images in many applications. It is known that removing these cloud effects is a necessary preprocessing step in remote sensing image analysis. In general, auxiliary images need to be used as the reference images to determine the true ground cover underneath cloud-contaminated areas. In this paper, a new...
Optical remote sensing images are often contaminated by the presence of clouds. The development of cloud effect removal techniques can maximize the usefulness of multispectral or hyperspectral images collected in the spectral range from visible to mid infrared. This paper presents a new data reconstruction technique, via dictionary learning and sparse representation, to remove the cloud effects. Dictionaries...
This paper presents an advanced screen content coding solution using color table and index map method. It is implemented on top of the High-Efficiency Video Coding (HEVC) Range Extension (RExt) standard draft version 5 [1], fully harmonized with the HEVC recursive quad-tree structure and also one of the promising tool under investigation for emerging HEVC based screen content coding extension. For...
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