We present an alternative to traditional texture compression techniques whereby a clear data channel is embedded within a texture using steganographic techniques. The resulting pixels are polymorphic – they can be used without decompression and the embedded data can be extracted and used for alternative purposes. The technique has fewer degenerate cases than DXT, does not suffer from high-frequ...

Most supervised image classification methods need pure pixels for training, which complicates training when pure pixels are scarce. In these cases, it can be difficult to obtain a sufficiently large number of representative training samples to accurately estimate the spectra of the classes. The direct use of ‘almost pure’ pixels is not advisable. These cause the estimated mean to be biased and ...

Visual media data such as an image is the raw data representation for many important applications, such as image retrieval (Mikolajczyk & Schmid 2001), video classification (Lin & Hauptmann, 2002), facial expression recognition (Wang & Ahuja 2003), face recognition (Zhao, Chellappa, Phillips & Rosenfeld 2003), etc. Reducing the dimensionality of raw visual media data is highly desirable since h...

the goal of multi-frame super resolution (sr) is to fuse multiple low resolution (lr) images to produce one high resolution (hr) image. the major challenge of classic sr approaches is accurate motion estimation between the frames. to handle this challenge, fuzzy motion estimation method has been proposed that replaces value of each pixel using the weighted averaging all its neighboring pixels i...