Fractal and Wavelet Image Compression Techniques

Welstead, Stephen T.

doi:10.1117/3.353798

Cited by 220 publications

(131 citation statements)

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“…The higher the value of PSNR, the more quality the stego image will have. In accordance to [1] [14], the reasonable range for the acceptable PSNR values are between 30 and 50. Therefore, the computed PSNR values are highly tolerable because all the computed PSNR values are higher than 50.…”

Section: Resultssupporting

confidence: 55%

A Novel Steganography Method for Hiding BW Images into Gray Bitmap Images via k-Modulus Method

Jassim¹

2013

IJACSA

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Abstract-This paper is to create a pragmatic steganographic implementation to hide black and white image which is known as stego image inside another gray bitmap image that known as cover image. First of all, the proposed technique uses k-Modulus Method (K-MM) to convert all pixels within the cover image into multiples of positive integer named k. Since the black and white images can be represented using binary representation, i.e. 0 or 1. Then, in this article, the suitable value for the positive integer k is two. Therefore, each pixel inside the cover image is divisible by two and this produces a reminder which is either 0 or 1. Subsequently, the black and white representation of the stego image could be hidden inside the cover image. The ocular differences between the cover image before and after adding the stego image are insignificant. The experimental results show that the PSNR values for the cover image are very high with very small Mean Square Error.

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Section: Resultssupporting

confidence: 55%

A Novel Steganography Method for Hiding BW Images into Gray Bitmap Images via k-Modulus Method

Jassim¹

2013

IJACSA

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“…Very high PSNR values of over 40 dB prove that the result of the algorithm in Figure 6a is not only visually convincing, but also leads to correct results, even in case of complex wavefront aberrations. This is better than the PSNR values of 35 dB reported by [20] for high quality compression algorithms.…”

Section: A Evaluation On Synthetic Imagescontrasting

confidence: 53%

Restoration of images with wavefront aberrations

Zelenka

Koch

2016

2016 23rd International Conference on Pattern Recognition (ICPR)

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Abstract-This contribution deals with image restoration in optical systems with coherent illumination, which is an important topic in astronomy, coherent microscopy and radar imaging. Such optical systems suffer from wavefront distortions, which are caused by imperfect imaging components and conditions. Known image restoration algorithms work well for incoherent imaging, they fail in case of coherent images.In this paper a novel wavefront correction algorithm is presented, which allows image restoration under coherent conditions. In most coherent imaging systems, especially in astronomy, the wavefront deformation is known. Using this information, the proposed algorithm allows a high quality restoration even in case of severe wavefront distortions. We present two versions of this algorithm, which are an evolution of the Gerchberg-Saxton and the Hybrid-Input-Output algorithm. The algorithm is verified on simulated and real microscopic images.

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“…Mean while the experiments of model Ψ 2 aims to obtain the best reconstruction results from any of the 9 blocks having the best PSNR or RMSE values of 3/4, 2/3, 1/2, 1/3, 1/4 of full size of matrix Ψ. (Welstead 1999;Zain et al 2011), the threshold value of acceptable PSNR to the quality of an image is 29-34 dB.…”

Section: Experiments Stepmentioning

confidence: 99%

A Partial Acquisition Technique of Sar System Using Compressive Sampling Method

Arief

2017

IJReSES

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Abstract. In line with the development of Synthetic Aperture Radar (SAR) technology, there is a serious problem when the SAR signal is acquired using high rate analog digital converter (ADC), that require large volumes data storage. The other problem on compressive sensing method, which frequently occurs, is a large measurement matrix that may cause intensive calculation. In this paper, a new approach was proposed, particularly on the partial acquisition technique of SAR system using compressive sampling method in both the azimuth and range direction. The main objectives of the study are to reduce the radar raw data by decreasing the sampling rate of ADC and to reduce the computational load by decreasing the dimension of the measurement matrix. The simulation results found that the reconstruction of SAR image using partial acquisition model has better resolution compared to the conventional method (Range Doppler Algorithm/RDA). On a target of a ship, that represents a low-level sparsity, a good reconstruction image could be achieved from a fewer number measurement. The study concludes that the method may speed up the computation time by a factor 4.49 times faster than with a full acquisition matrix.

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Fractal and Wavelet Image Compression Techniques

Cited by 220 publications

References 0 publications

A Novel Steganography Method for Hiding BW Images into Gray Bitmap Images via k-Modulus Method

A Novel Steganography Method for Hiding BW Images into Gray Bitmap Images via k-Modulus Method

Restoration of images with wavefront aberrations

A Partial Acquisition Technique of Sar System Using Compressive Sampling Method

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