Image data compression: A review

Jain, Anil K.

doi:10.1109/proc.1981.11971

Cited by 609 publications

(123 citation statements)

References 146 publications

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“…Optimization of this architecture may be done by pre-processing and compressing the data to be transmitted [4]. Any multiplexing that needs to be done may also be performed.…”

Section: B Optimization Of Generic Casementioning

confidence: 99%

An Innovative Control Architecture for Autonomous Mobile Robots by Displacement of Computing Operations to Operator Stations

Muhammad¹

2013

IJCCE

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“…Optimization of this architecture may be done by pre-processing and compressing the data to be transmitted [4]. Any multiplexing that needs to be done may also be performed.…”

Section: B Optimization Of Generic Casementioning

confidence: 99%

An Innovative Control Architecture for Autonomous Mobile Robots by Displacement of Computing Operations to Operator Stations

Muhammad¹

2013

IJCCE

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“…They have been used in reduction of noise from data, [3] compression of multispectral images and compression of SAR images. Compression is reduces the storage requirements, transmission time and bandwidth, which makes the data management more effective and efficient [4], [5], [6]. The Process of encoding all DCT coefficients and transmitting them requires huge bandwidth and serve no purpose since most of the coefficients are zeros [12].…”

Section: Introductionmentioning

confidence: 99%

Quality Improvement in Color Image Compression using New FDCT and FIDCT

Mary¹,

Ramachandran²

2015

IJCA

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The image compression methods aim to compress color image while ensuring that noise removal compression technique produce the good quality level images. The storage of images is becoming difficult with number of images growing to million and billions. Hence the image compression becoming absolute necessity in computing field. The Discrete Cosine Transform is widely used in image compression technique. Redundant information in an image needs to be eliminated by adopting intelligent method. In the recent research attempts better quality of compression is observed with the use of Discrete Cosine Transform (DCT) and Quantization. In this paper, the proposed system efficient image encoder removes the sinusoidal noise from original image by Butterworth Band Reject Filter (BBRF) algorithm in FDCT color image compression. The objective of this color image compression scheme is efficiently noise removal image, calculate the Compression Ratio(CR), Peak Signal to Noise Ratio (PSNR) Mean Square Error (MSE) by changing the FDCT level and using Fine Inverse Discrete Cosine Transform (F-IDCT) factor while preserving the quality of reconstructed image. Experimentation has been carried out on different image formats successfully. The proposed system achieved a good compression ratio and considerable test application for the quality of the reconstructed color image.

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“…Entropy functional estimation is fundamental to independent component analysis in signal processing [3]. Entropy has also been used in Internet anomaly detection [4] and data and image compression applications [5]. Several entropy based nonparametric statistical tests have been developed for testing statistical models including uniformity and normality [6,7].…”

Section: Introductionmentioning

confidence: 99%

k-nearest neighbor estimation of entropies with confidence

Sricharan

Raich

Hero

2011

2011 IEEE International Symposium on Information Theory Proceedings

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Abstract-We analyze a k-nearest neighbor (k-NN) class of plug-in estimators for estimating Shannon entropy and Rényi entropy. Based on the statistical properties of k-NN balls, we derive explicit rates for the bias and variance of these plug-in estimators in terms of the sample size, the dimension of the samples and the underlying probability distribution. In addition, we establish a central limit theorem for the plug-in estimator that allows us to specify confidence intervals on the entropy functionals. As an application, we use our theory in anomaly detection problems to specify thresholds for achieving desired false alarm rates.

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Image data compression: A review

Cited by 609 publications

References 146 publications

An Innovative Control Architecture for Autonomous Mobile Robots by Displacement of Computing Operations to Operator Stations

An Innovative Control Architecture for Autonomous Mobile Robots by Displacement of Computing Operations to Operator Stations

Quality Improvement in Color Image Compression using New FDCT and FIDCT

k-nearest neighbor estimation of entropies with confidence

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