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block adaptive quantization compression

A new multistage lattice vector quantization with adaptive subband thresholding for image compression

A new multistage lattice vector quantization with adaptive subband thresholding for image compression

... the quantization errors of the current stage are “blown out” by multiplying them with the current scale fac- ...the quantization errors is that there will be more lattice points in the subsequence ...

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PERFORMANCE ANALYSIS OF BTC-PF ALGORITHM FOR IMAGE COMPRESSIONPriya Nagar1, Prof. A.C.Tiwari2, Prof. Mukesh Patidar3

PERFORMANCE ANALYSIS OF BTC-PF ALGORITHM FOR IMAGE COMPRESSIONPriya Nagar1, Prof. A.C.Tiwari2, Prof. Mukesh Patidar3

... length compression technique for gray scale images. This is a block-adaptive binary encoding scheme based on moment preserving ...each block is coded separately. Gray levels of each ...

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Integrating a Smooth Psychovisual Threshold into an Adaptive JPEG Image Compression

Integrating a Smooth Psychovisual Threshold into an Adaptive JPEG Image Compression

... the quantization table from given order zero to the order fourteen has been visualized as a ...the quantization table while the blue curve represents the image reconstruction error based on the maximum ...

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Adaptive quantization by soft thresholding in HEVC

Adaptive quantization by soft thresholding in HEVC

... previous block-based hybrid video coding standards, the HEVC standard applies — after intra or inter prediction and linear transformation by the Discrete Cosine Transform (DCT) — quantization on transform ...

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Image Compression with Variable Threshold and Adaptive Block Size

Image Compression with Variable Threshold and Adaptive Block Size

... scalar quantization procedure for the transformed data of the image, and then apply the block truncation coding method for the purpose of encoding the quantized data of the ...the compression data ...

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INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON 
SELF DISCLOSURE LEVELS VIA FACEBOOK

INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK

... the adaptive block scanning was applied using a corresponding (n n) vector containing the maximum possible run of ...image compression based on DCT and adaptive Huffman coding, where the image ...

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Block wise image compression & Reduced Blocks Artifacts Using Discrete Cosine Transform

Block wise image compression & Reduced Blocks Artifacts Using Discrete Cosine Transform

... ata compression is defined as the process of encoding the data using a representation that reduce the overall size of the ...redundancy. Compression is a process to represent the image in less number of ...

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Secured Data Hiding based on Compression Function and Quantization

Secured Data Hiding based on Compression Function and Quantization

... using quantization index modulation (QIM) which is carried out in the multistage vector quantization (MSVQ) of line spectral frequencies (LSF) ...uniform quantization. The uniform quantization ...

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IMAGE COMPRESSION USING HYBRID QUANTIZATION METHOD IN JPEG

IMAGE COMPRESSION USING HYBRID QUANTIZATION METHOD IN JPEG

... “Hybrid Quantization Method” in JPEG image compression ...Hybrid Quantization Method is to overcome the limitations in the standard JPEG method & to provide a solution to ...one ...

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An Analysis of Vector Quantization Based Image Compression Approaches

An Analysis of Vector Quantization Based Image Compression Approaches

... Chiranjeevi karri et al [18] proposed cuckoo search (CS) Meta heuristic optimization algorithm to generate near optimal code book in vector quantization for image compression. CS optimizes the Linde Buzo ...

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Minimizing median difference quantization error for image compression

Minimizing median difference quantization error for image compression

... of quantization process in transform-based image ...the quantization performance. Generally, high quantization error will occurred if large interval is used at high difference value ...non-uniform ...

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An Improved Interpolative Vector Quantization Scheme for Image Compression

An Improved Interpolative Vector Quantization Scheme for Image Compression

... Image compression is an important aspect of multimedia data transmission, especially through band limited, time- varying ...channels. Compression can be classified into lossless or lossy, depending on ...

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Adoption of Global Structure Transformation in lossy image compression based on Curvelet and Cosine transforms

Adoption of Global Structure Transformation in lossy image compression based on Curvelet and Cosine transforms

... image compression technique based on curvelets and SPIHT (Set Partitioning in Hierarchical Trees) encoding ...and quantization on curvelet ...the compression using Back-Propagation Neural Network and ...

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Image Compression Using Different Vector Quantization Algorithms and Its Comparison

Image Compression Using Different Vector Quantization Algorithms and Its Comparison

... without quantization in light of the fact that a large portion of the data regularly resides in it and for a similar reason Huffman coding connected on this sub-band then RVQ connected on the detail sub-groups ...

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Sensitivity to color errors introduced by processing in different color spaces

Sensitivity to color errors introduced by processing in different color spaces

... To achieve the desired compression ratio, most coding methods employ some type of quantization. When processing color images, this quantization leads to color errors. The subjective visu[r] ...

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Comparison of DCT and wavelet based image compression Techniques

Comparison of DCT and wavelet based image compression Techniques

... Image compression defines as reducing the amount of data required to represent digital ...Image compression is urgently needed for very large medical or satellite images, both for reducing the storage ...

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Image Compression using Side Match Vector Quantization Technique

Image Compression using Side Match Vector Quantization Technique

... a block and strong correlation between the neighboring blocks for high quality image coding at low ...image block by a smaller-sized state codebook generated from a master codebook using a side-match ...

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Berezin Quantization of Gaussian Functions Depending by a Quantum and Compression Parameter

Berezin Quantization of Gaussian Functions Depending by a Quantum and Compression Parameter

... The Berezin transform is an important tool in the contest of Berezin quantiza- tion, especially its asymptotic behaviour with the appropriate weights ρ . As showed in [2] the construction of the Berezin ...

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ECG Compression using the Three Level Quantization and Wavelet Transform

ECG Compression using the Three Level Quantization and Wavelet Transform

... Three-Level Quantization and EZW & Huffman encoding for a better ...the block diagram of the proposed method for ECG ...lossy compression techniques, the definition of the error criterion to ...

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An Improved JPEG Image Compression Technique based on Selective Quantization

An Improved JPEG Image Compression Technique based on Selective Quantization

... of compression mechanism, among them the Baseline JPEG or Lossy Sequential DCT Mode of JPEG is most popular since it can store a digital image by temporarily removing its psychovisual redundancy and thereby ...

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