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In this paper, a simple but efficient permutation enhanced parallel reconstruction architecture for compressive sampling (CS) is proposed. In this architecture, a measurement matrix is constructed from a block-diagonal sensing matrix, the sparsifying basis of the target signal, and a pre-defined permutation matrix. In this way, the projection of the signal onto the sparsifying basis can be divided...
License Plate Recognition (LPR) is an automatic system which is able to recognize a license number plate. It is an effective monitoring method that uses optical character recognition (OCR) on images to read vehicle number plates. Genetic neural network used such type of system for developing many challenges. The system used in highway computerized toll aggregation and surveilling the movements of...
This papers deals with an efficient image compression technique for images having low dynamic range. The images with low dynamic range generally have low intensity variations. By considering this fundamental characteristic into account we can go for image compression at higher ratio with small modifications to the existing block based EZW algorithm. To achieve the improvement in compression ratio,...
Compressive Sensing (CS) provides a solid theoretical framework for sparse signal recovery. In this work, we concentrate on recovering the foreground object which can be represented as a sparse vector using wavelets. The method revolves around the CS framework by judiciously using the complex field BCH codes and the syndrome as measurements to achieve our goal of robust background subtraction using...
Application of Hyperspectral imagery has accomplished prevalence in the field of remote sensing, hence has emanated as a very progressive field for research and development for the past couple of decades. The sententious spatial and spectral correlation divulged by the Hyperspectral images is oppressed for compression. In this paper, we affirm a near lossless compression of Hyperspectral images based...
Fractal compression is a lossy compression method for digital images based on fractals rather than pixels, which are best suited for textures and natural images. It works on self- similarity property in various fractions of images, relying on the fact that parts of an image often resemble other parts of the same image. It takes long encoding time and affects the image quality. This paper introduces...
A new image coding technique for color image based on colorization method is proposed. In colorization based image coding, the encoder selects the colorization coefficients according to the basis made from the luminance channel. Then, in the decoder, the chrominance channels are reconstructed by utilizing the luminance channel and the colorization coefficients sent from the encoder. The main issue...
Error concealment is a receiver-based post-processing technique that deals with the errors occur in a decoded signal during transmission in the packet loss environments, based on data available only at the decoder. In this paper, we propose a novel error concealment algorithm for the multiview images based on sparse reconstruction. Using a simple combination of the wavelet transform prior to transmitting...
In order to break through the constraint of mobile hardware resource and wireless network bandwidth, a viewpoint-predicting-based remote rendering on mobile devices using multiple depth images is proposed. First, a reference viewpoint selection mechanism is given based on user interactions at present, and then guide the generation of corresponding depth images. Secondly, an edge based depth map reconstruction...
In order to improve the quality of decoded images in fractal image coding, a novel method by making use of a modified image is proposed in this paper. Since the degradation of decoded images in fractal coding mainly comes from the poor self-similarity of the input image, a modified image that satisfies good self-similarity and approximates the original image well is constructed. After transforming...
In this paper, a high rate compression of color images is achieved using colorization technique and smooth L0 (SL0) minimization. At encoder, the color image is converted into Ycbcr space. The luminance (Y) information of image is segmented using fuzzy-c-means to construct colorization matrix. This colorization matrix is used in choosing few important color representative pixels (RP) by applying SL0...
Visual cryptography is a new paradigm to encode a secret image into multiple shares of images. It relies on decoding of image directly through the human eyes by stacking the shares, thus require minimal overhead for reconstruction of image. The secret sharing scheme can be considered as a basis for secure key management. In some situations, it may be possible that key becomes unavailable due to some...
In the HEVC standardization process, the In-loop filter module is added with a new video coding tool called sample adaptive offset (SAO). SAO is placed after de-blocking in video coding loop. The HM implementation (HM10.0, 2013) & the standard (Bross et al., 2013) indicates picture basis in-loop filtering i.e., both de-blocking and SAO. Although standard specifies picture basis de-blocking operation,...
We present efficient methods for parametrizing planar models, to be used for depth value reconstruction inside selected regions in a depth image. The optimal plane for each region is represented using its quantized heights at three pixel locations. The decoder uses the decoded quantized heights to approximately represent the optimal plane. The three pixel locations are selected so that the distortion...
This paper offers a characterization of performance limits for classification and reconstruction of high-dimensional signals from noisy compressive measurements, in the presence of side information. We assume the signal of interest and the side information signal are drawn from a correlated mixture of distributions/components, where each component associated with a specific class label follows a Gaussian...
With rapid increase of image resolution in modern video processing and display systems, the bandwidth and power consumption of external memory are becoming serious bottlenecks. This problem can be alleviated by high-fidelity embedded compression (EC) techniques for video frame buffers. Classic lossless or near-lossless coding methods like CALIC are ill suited for embedded systems due to their high...
In this paper, we propose a method to protect faces in video-surveillance scenes. Our method deletes any visible information of faces in a video and uses a data-hiding technique to embed information in the video that allows further reconstruction of the faces if needed. When the entire information needed for reconstruction is embedded, we obtain infinite PSNR for the face regions.
Subband decomposition is widely used in signal processing applications including image and speech compression. In this paper, we present Perfect Reconstruction (PR) polyphase filter bank structures in which the filters adapt to the changing input conditions. This leads to higher compression results for images containing sharp edges such as fingerprint images. The fingerprint image compression is an...
This paper proposes a novel algorithm for fractal coding of color image sequence, based on the extended CPM (Circular Prediction Mapping). In the extended CPM, each range block is approximated by a domain block in the adjacent frame, which is of the same size as the range block. Therefore the proposed domain-range mapping is similar to the block matching algorithm in the motion compensation techniques,...
A generalization of the correlation function is explored which, besides a relative time shift between the signals to be correlated, also takes into account different scalings on the time axis (i.e., magnification/reduction). It is shown how the generalized correlation function for continous signals can be sampled and computed without loss of information and thus can be described by discrete-time signals...
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