Classification-based spatial error concealment for images
نویسندگان
چکیده
This paper presents a new, classification-based spatial error concealment algorithm for images. The proposed scheme takes advantage of two state-of-the-art concealment schemes and adaptively selects the best suitable concealment scheme for each corrupted block. Using a simple classification scheme via SVM, our proposed approach outperforms the prior art in terms of the concealment quality and has low computational complexity.
منابع مشابه
A Novel Temporal-Frequency Domain Error Concealment Method for Motion Jpeg
Motion-JPEG is a common video format for compression of motion images with highquality using JPEG standard for each frame of the video. During transmission through a noisychannel some blocks of data are lost or corrupted, and the quality of decompression frames decreased.In this paper, for reconstruction of these blocks, several temporal-domain, spatial-domain, andfrequency-domain error conceal...
متن کاملA Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP Classifier
There are many error concealment techniques for image processing. In the paper, the focus is on restoration of image with missing blocks or macroblocks. Different methods can be optimal for different kinds of images. In recent years, great attention was dedicated to textures, and specific methods were developed for their processing. Many of them use classification of textures as an integral par...
متن کاملHybrid error concealments based on block content
We present a novel error-concealment method for MPEG-2 video decoders. Imperfect transmission of block-based compressed images may result in the loss of blocks, degrading the quality of the received video signal. Since an I-picture is used as a reference picture for forward and backward predictions of neighbouring pictures, transmission errors in an I-picture are propagated both spatially in th...
متن کاملSpectral-spatial classification of hyperspectral images by combining hierarchical and marker-based Minimum Spanning Forest algorithms
Many researches have demonstrated that the spatial information can play an important role in the classification of hyperspectral imagery. This study proposes a modified spectral–spatial classification approach for improving the spectral–spatial classification of hyperspectral images. In the proposed method ten spatial/texture features, using mean, standard deviation, contrast, homogeneity, corr...
متن کاملClassification-Based Spatial Error Concealment for Visual Communications
In an error-prone transmission environment, error concealment is an effective technique to reconstruct the damaged visual content. Due to large variations of image characteristics, different concealment approaches are necessary to accommodate the different nature of the lost image content. In this paper, we address this issue and propose using classification to integrate the state-of-theart err...
متن کامل