In this paper we have proposed three and two stage still gray scale image compressor based on BTC. In our schemes, we have employed a combination of four techniques to reduce the bit rate. They are quad tree segmentation, bit plane omission, bit plane coding using 32 visual patterns and interpolative bit plane coding. The experimental results show that the proposed schemes achieve an average bi...

This paper adopts the method of visual characteristics double random matrix to conduct in-depth research and analysis on design fractal art patterns. For practical application needs in graphic design, a is proposed automatically extract core base pattern based content generate four-sided continuous pattern. The first uses Canny operator for edge detection analyze area main Then, it grayscale co...

Besides on-line and off-line visual quality evaluation, how distortion is gauged also plays a determinative role in shaping most algorithms for image and video manipulations, such as enhancement, reconstruction, data hiding, compression, and joint source/channel coding. Visual quality control within an encoder and distortion assessment for decoded signal is particularly of interests due to the ...

A multiscale Canny edge detection is equivalent to finding the local maxima of a wavelet transform. We study the properties of multiscale edges through the wavelet theory. For pattern recognition, one often needs to discriminate different types of edges. We show that the evolution of wavelet local maxima across scales characterize the local shape of irregular structures. Numerical descriptors o...

Representing images by compact codes has proven beneficial for many visual recognition tasks. Most existing techniques, however, perform this coding step directly in image feature space, where the distributions of the different classes are typically entangled. In contrast, here, we study the problem of performing coding in a high-dimensional Hilbert space, where the classes are expected to be m...

The ignorance on spatial information and semantics of visual words becomes main obstacles in the bag-of-visual-words (BoW) method for image classification. To address the obstacles, we present an improved BoW representation using spatial pyramid coding (SPC) and visual word reweighting. In SPC procedure, we adopt the sparse coding technique to encode visual features with the spatial constraint....

Multidimensional Multiscale Parser (MMP) algorithms have consistently achieved better compression gains over the years, and recently proposed techniques outperformed state-of-the-art transform-based image encoders like the JPEG2000 and H.264/AVC, for both smooth and nonsmooth images, at low to medium compression rates. The use of dictionary update tools and a highly adaptable segmentation featu...

Information processing in the visual cortex of the mammalian brain allows compact image coding and representation. Receptive ®eld structures found in the visual cortex of the mammalian brain resemble Gabor ®lters. There has been recent interest in the use of such receptive ®eld pro®les for image coding and texture processing. Systems employing such Gabor ®lters have been implemented in software...

One feature of visual processing in the ventral stream is that cortical responses gradually depart from the physical aspects of the visual stimulus and become correlated with perceptual experience. Thus, unlike early retinotopic areas, the responses in the object-related lateral occipital complex (LOC) are typically immune to parameter changes (e.g., contrast, location, etc.) when these do not ...

Signi cant perceptual improvements can be gained in the coding of stereoscopic videos, as is illustrated here by modifying the adaptive quantization of an MPEG-2 codec. Applying human visual properties to MPEG-2's temporal scalability framework, a perceptual adaptive quantization approach to stereoscopic video coding is presented. To optimize the perceived picture quality of the reconstructed s...