image representation
A REVIEW ON VARIOUS IMAGE REPRESENTATION TECHNIQUES AND OUTCOMES
... In this paper, various compression techniques are discussed considering both lossless and lossy approaches and also the comparison of existing algorithms and their performance for image representation. In ...
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Anisotropic mesh adaptation for image representation
... in image representation and have been widely used in image ...to image representation and proposes a GPRAMA method that is based on AMA and greedy-point removal (GPR) ...both ...
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Content Controlled Image Representation for Sports Streaming
... the image representation? The representation can be altered to match the user ...keyframe image that represents motion as well as semantic objects in some intuitive way would improve the user ...
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Perceptual Image Representation
... This paper describes a rarity-based visual attention model working on both still images and video sequences. Applications of this kind of models are numerous and we focus on a perceptual image ...
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Fuzzy Morphological Polynomial Image Representation
... FMP representation using Z fuzzification achieves the higher data compression ratio that of ...FMP representation with Z fuzzification and the DCT method, with window size of 3 and 3 × 3 cases, for visual ...
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DETECTING EDGES FOR IMAGE REPRESENTATION & DESCRIPTION
... Edge detection techniques transform images to edge images benefiting from the changes of grey tones in the images. Edges are the sign of lack of continuity, and ending. As a result of this transformation, edge ...
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Triangular Wavelets: An Isotropic Image Representation with Hexagonal Symmetry
... This paper introduces triangular wavelets, which are two-dimensional nonseparable biorthogonal wavelets defined on the regular triangular lattice. The construction that we propose is a simple nonseparable extension of ...
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Dictionary Learning for Scalable Sparse Image Representation with Applications
... The proposed procedure is mainly motivated by the HVS functional mechanism properties. Specifically, human eyes tend to pay more attention to the edges of an ob- ject given the high firing rate of the visual cortex neu- ...
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Image Reconstruction and Evaluation: Applications on Micro-surfaces and Lenna Image Representation
... produces image of a sample by scanning it with a focused beam of electrons that contains information about the sample’s surface ...produced image contains information about the planner dimension of the ...
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ImageFARMER: Introducing a Data Mining Framework for the Creation of Large scale Content based Image Retrieval Systems
... content-based image retrieval systems with ease while developing a deeper understanding of the underlying representation of domain- specific image ...of image processing and content-based ...
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The High-Resolution Rate-Distortion Function under the Structural Similarity Index
... in image processing to assess the similarity between an image representation and an original reference image, can be formulated as a locally quadratic distortion ...
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Deep Convolution Neural Network With Logistic Regression Based Image Retrieval And Classification Model For Recommendation System
... labeled representation (𝑋 , 𝑦𝑖) to attain this objective wherever image representation is denoted through 𝑋 and respective image label is denoted through 𝑦 , and we use CNN model neural layers ...
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Image Compression Via Sparse Representation
... sparse representation has become a hot topic in the research of image representation model and there has been a growing interest in the study of image compression based on sparse ...of ...
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Development to Improve the Image Quality by Super Resolution Representation of Low Resolved Image.
... in image compression area is focused on lossy ...in image coding algorithms such as entropy coding or lifting coding scheme, a approach of image representation for lower the pixel ...
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3D/4D Image Registration and Fusion Techniques : A Survey
... Image representation of data captured by image sensors provides visual interpretation of ...the image provide distinct information. Image registration is a process of aligning digital ...
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Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering
... It can be seen from the above review that if the parameterization value is normalized, the value of the guided filter window h will determine the output quality of the image, where H represents the height of the ...
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Combined Dictionary Learning in Facial Expression Recognition
... sparse representation of a facial image is regarded mainly as a way of extracting features and at the same time with low dimensions Sparse representation based on learned dictionary directly from all ...
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Review on Image Compression Techniques
... is adequate for most applications. Decompressed image is not identical to original image, but reasonably close to it. This compression is suitable for natural images such as photos in applications where ...
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Representation of uncertain object proposals for pool Image recognition
... protest proposition has been considered as a fundamental piece of present day question discovery strategies. EXISTING SYSTEM[r] ...
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Image similarity using sparse representation and compression distance
... new image encoder is proposed based on the finite context model and preliminary results on a face database are provided ...measure image similarity ...
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