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Published in 2020 at "Multimedia Systems"
DOI: 10.1007/s00530-020-00681-6
Abstract: Due to the low compression performance of traditional compression models, we have developed a new HOA based Fractional KCA with 2D-DWT for improving the multispectral image quality. In this paper, we present a novel multispectral…
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Keywords:
fractional kca;
compression;
hybrid optimal;
image compression ... See more keywords
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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1379-1
Abstract: A Morlet’s wavelet transformation based image compression and decompression (MWT-ICD) technique is proposed in order to enhance the performance of digital and gray scale image compression with higher compression ratio (CR) and to reduce the…
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Keywords:
technique;
compression;
transformation;
wavelet ... See more keywords
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Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1982-9
Abstract: Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images. In particular, remote sensing makes it possible to collect image data on dangerous…
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Keywords:
wavelet transform;
compression;
image;
image compression ... See more keywords
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Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1994-5
Abstract: Over the last two decades, great improvements have been made in image and video compression techniques driven by a growing demand for storage and transmission of visual information. This paper focuses on image compression, the…
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Keywords:
compression;
image;
seed;
flood fill ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6724-8
Abstract: In this paper, a hyperspectral image compression method is proposed. It is based on spectral clustering, linear prediction and the vector quantization (VQ). Since the hyperspectral image has stronger spectral correlation than spatial correlation, the…
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Keywords:
linear prediction;
hyperspectral image;
prediction vector;
prediction ... See more keywords
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Published in 2017 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-016-1150-5
Abstract: The computerization of images have been important for different medical applications. Nevertheless, the huge volume of medical images can rapidly saturate transmission especially in telemedicine field and may encumber storage systems in case of local…
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Keywords:
compression;
image;
digital watermarking;
lossless compression ... See more keywords
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Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4750-x
Abstract: This paper introduces a new image compression method utilizing a combination of discrete cosine transform and least squares interpolation method. Presented is a discussion of the mathematical background, outline of the approach, complexity computations, pseudocode,…
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Keywords:
compression using;
least squares;
image compression;
squares interpolation ... See more keywords
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Published in 2022 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-021-01193-w
Abstract: Fractal image compression is a lossy compression technique based on the iterative function system, which can be used to reduce the storage space and increase the speed of data transmission. The main disadvantage of fractal…
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Keywords:
compression;
image compression;
image;
parallelism ... See more keywords
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Published in 2018 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-018-0830-y
Abstract: AbstractSatellite/aerial images taken from high altitude contain large amount of pixels to store accurate information. These high resolution images require large storage capacity and more transmission time. Applying an efficient compression technique on these images…
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Keywords:
technique;
compression;
truncation coding;
block truncation ... See more keywords
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Published in 2019 at "Health and Technology"
DOI: 10.1007/s12553-018-00282-4
Abstract: In medical images, especially for brain images ROI is very important for diagnosis. ROI is very important compare to other portion of an image. Here ROI is included in hybrid coding algorithm for effective image…
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Keywords:
compression technique;
compression;
image;
hybrid image ... See more keywords
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Published in 2018 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2016.09.009
Abstract: Abstract Most common vector quantization (VQ) is Linde Buzo Gray (LBG), that designs a local optimal codebook for image compression. Recently firefly algorithm (FA), particle swarm optimization (PSO) and Honey bee mating optimization (HBMO) were…
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Keywords:
search;
optimization;
cuckoo search;
vector quantization ... See more keywords