Effective compression ratio—A new measurement of the quality of thorax compression during CPR

Resuscitation ◽  
2013 ◽  
Vol 84 (5) ◽  
pp. 672-677 ◽  
Author(s):  
Robert Greif ◽  
Dominik Stumpf ◽  
Stephanie Neuhold ◽  
Kurt Rützler ◽  
Lorenz Theiler ◽  
...  
Keyword(s):  
Compression Ratio ◽  
Thorax Compression

scholarly journals 3D DCT Based Image Compression Method for the Medical Endoscopic Application

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1817
Author(s):  
Jiawen Xue ◽  
Li Yin ◽  
Zehua Lan ◽  
Mingzhu Long ◽  
Guolin Li ◽  
...  
Keyword(s):  
Image Compression ◽  
Compression Ratio ◽  
Signal To Noise Ratio ◽  
Blocking Artifacts ◽  
Compression Method ◽  
High Compression Ratio ◽  
Multiplication Operation ◽  
3D Data ◽  
Wireless Capsule

This paper proposes a novel 3D discrete cosine transform (DCT) based image compression method for medical endoscopic applications. Due to the high correlation among color components of wireless capsule endoscopy (WCE) images, the original 2D Bayer data pattern is reconstructed into a new 3D data pattern, and 3D DCT is adopted to compress the 3D data for high compression ratio and high quality. For the low computational complexity of 3D-DCT, an optimized 4-point DCT butterfly structure without multiplication operation is proposed. Due to the unique characteristics of the 3D data pattern, the quantization and zigzag scan are ameliorated. To further improve the visual quality of decompressed images, a frequency-domain filter is proposed to eliminate the blocking artifacts adaptively. Experiments show that our method attains an average compression ratio (CR) of 22.94:1 with the peak signal to noise ratio (PSNR) of 40.73 dB, which outperforms state-of-the-art methods.

A Method for Improvement in Data Quality of Heat Release Metrics Utilizing Dynamic Calculation of Cylinder Compression Ratio

2019 ◽  
Vol 13 (2) ◽  
Author(s):  
Mario Nahkle ◽  
David R. Rogers ◽  
Janko Meier ◽  
Hubert Fusshoeller ◽  
Michael Bargende
Keyword(s):  
Data Quality ◽  
Heat Release ◽  
Compression Ratio ◽  
Dynamic Calculation ◽  
Cylinder Compression

Diagnosis of glaucoma using telemedicine – the effect of compression on the evaluation of optic nerve head cup–disc ratio

2000 ◽  
Vol 6 (1_suppl) ◽  
pp. 123-125 ◽  
Author(s):  
Danielle Beauregard ◽  
John Lewis ◽  
Marc Piccolo ◽  
Harold Bedell
Keyword(s):  
Optic Nerve ◽  
Image Quality ◽  
Optic Nerve Head ◽  
Compression Ratio ◽  
Optical Resolution ◽  
Jpeg Images ◽  
Disk Space ◽  
Blinded Observer ◽  
Tiff Format

A photograph of the optic nerve head requires a lot of disk space (over 1 MByte) for storage and may require substantial bandwidth and time for transmission to a remote practitioner for a second opinion. To test whether compression degrades the image quality of the images, 302 slides were digitized at an optical resolution of 2400 pixels/inch (945 pixels/cm) and 30 bit/pixel. The images were saved both in non-compressed TIFF format and in compressed JPEG (compression ratio of 60) format. A blinded observer measured the optic nerve head cup–disc ratio for all three groups: the original slides, uncompressed TIFF and compressed JPEG images. The results showed that digital images were less accurate than slides. However, compression, even up to a ratio of 40, did not make matters worse.

Image Compression Algorithm with Radix-4 FFT

2010 ◽  
Vol 143-144 ◽  
pp. 404-408
Author(s):  
Jia Bin Deng ◽  
Juan Li Hu ◽  
He Hua Chi ◽  
Jue Bo Wu
Keyword(s):  
Image Processing ◽  
Fourier Transform ◽  
Image Compression ◽  
Compression Ratio ◽  
Conformal Symmetry ◽  
Research Focus ◽  
Data Store ◽  
Long Time ◽  
Image Compression Algorithm

Image compression technology has been the research focus in the field of image processing all the time. In this paper, Radix-4 FFT is introduced to realize limit distortion coding of image. The presented method aims to solve the problems of Fourier transform on existing complexity and long time-consuming, and it can reduce the number of data store by conformal symmetry of Fourier transform. Using Radix-4 FFT, the time-consuming can be highly shortened and two different kinds of quantization tables are designed according to image compression ratio and the quality of image.

scholarly journals DESIGN OF NEURAL NETWORK AS DATA FLOW MODEL FOR IMAGE COMPRESSION

2013 ◽  
pp. 195-199
Author(s):  
DANESHWARI I. HATTI ◽  
SAVITRI RAJU ◽  
MAHENDRA M. DIXIT
Keyword(s):  
Neural Network ◽  
Image Compression ◽  
Discrete Cosine Transform ◽  
Compression Ratio ◽  
Convergence Time ◽  
Training Algorithms ◽  
Hardware Complexity ◽  
Cosine Transform ◽  
Hidden Neurons

In digital communication bandwidth is essential parameter to be considered. Transmission and storage of images requires lot of memory in order to use bandwidth efficiently neural network and Discrete cosine transform together are used in this paper to compress images. Artificial neural network gives fixed compression ratio for any images results in fixed usage of memory and bandwidth. In this paper multi-layer feedforward neural network has been employed to achieve image compression. The proposed technique divides the original image in to several blocks and applies Discrete Cosine Transform (DCT) to these blocks as a pre-process technique. Quality of image is noticed with change in training algorithms, convergence time to attain desired mean square error. Compression ratio and PSNR in dB is calculated by varying hidden neurons. The proposed work is designed using MATLAB 7.10. and synthesized by mapping on Vertex 5 in Xilinx ISE for understanding hardware complexity. Keywords - backpropagation, Discrete

Discriminability of the Quality of Amplitude-Compressed Speech

1984 ◽  
Vol 27 (4) ◽  
pp. 571-577 ◽  
Author(s):  
Igor V. Náblek
Keyword(s):  
Compression Ratio ◽  
Critical Value ◽  
Normal Hearing ◽  
Hearing Impaired ◽  
Average Level ◽  
Release Time ◽  
Compressed Speech ◽  
Release Times ◽  
Masking Noise

In an earlier experiment on intelligibility of amplitude-compressed speech, subjects could not hear a difference between noncompressed speech and speech under some conditions of compression. Therefore, compression conditions were determined in which the quality of the two types of speech could be distinguished. When speech average level was 10 dB above a masking noise, compression ratio (CR) was equal to 2.5, and the attack time (Ta) was 3 ms, the release time (Tr) had to be shorter than 120 ms to achieve discrimination by trained normal-hearing subjects. With longer attack times and/or higher compression ratios, the critical value of release times increased. Thus, the range in which the discrimination was observed also increased (for CR = 5 and Ta = 10 ms, the critical Tr was 360 ms). The discrimination of our hearing-impaired subjects was much worse than that of the normal-hearing subjects. For example, speech processed with CR = 10, Ta = 1 ms, and Tr = 10 ms could be distinguished from the noncompressed by only 50% of the impaired subjects.

Determination of the geometric parameters of the matrix during the volumetric compression of tin bronze bushings

2021 ◽  
pp. 27-30
Author(s):  
Keyword(s):  
Plastic Deformation ◽  
Compression Ratio ◽  
Geometric Parameters ◽  
Degree Of Deformation ◽  
Deformation Parameters ◽  
Tin Bronze ◽  
The Matrix ◽  
Successful Reduction

The study of the influence of the geometric parameters of the matrix on the quality of the process of reduction of bushings made of tin bronze is carried out. It is established, that for successful reduction plastic deformation should not exceed 10÷15 %, and the angle of the intake part of the crimping matrix should be within 25÷45°, a further increase in this angle significantly reduces the quality of the process. It is shown, that the angle of the lead-in part of the crimping matrix has an insignificant influence on the limiting compression ratio of the bushings, and an increase in the friction coefficient does not significantly affect the deformation parameters. Keywords: bushing, crimping matrix, plastic deformation, compression ratio, wrinkling, degree of deformation [email protected]

A NONUNIFORM HIGH-QUALITY IMAGE COMPRESSION METHOD TO PRESERVE USER-SPECIFIED COMPRESSION RATIO

2011 ◽  
Vol 11 (03) ◽  
pp. 355-375 ◽  
Author(s):  
MOHAMMAD REZA BONYADI ◽  
MOHSEN EBRAHIMI MOGHADDAM
Keyword(s):  
Image Compression ◽  
Compression Ratio ◽  
Signal To Noise Ratio ◽  
Linear Mapping ◽  
Compression Method ◽  
High Quality ◽  
Compressed Images ◽  
High Quality Image ◽  
Quality Image

Most of image compression methods are based on frequency domain transforms that are followed by a quantization and rounding approach to discard some coefficients. It is obvious that the quality of compressed images highly depends on the manner of discarding these coefficients. However, finding a good balance between image quality and compression ratio is an important issue in such manners. In this paper, a new lossy compression method called linear mapping image compression (LMIC) is proposed to compress images with high quality while the user-specified compression ratio is satisfied. This method is based on discrete cosine transform (DCT) and an adaptive zonal mask. The proposed method divides image to equal size blocks and the structure of zonal mask for each block is determined independently by considering its gray-level distance (GLD). The experimental results showed that the presented method had higher pick signal to noise ratio (PSNR) in comparison with some related works in a specified compression ratio. In addition, the results were comparable with JPEG2000.

scholarly journals Comparative Study of Wavelet Image Compression: JPEG2000 Standart

2015 ◽  
Vol 16 (1) ◽  
pp. 83
Author(s):  
Ansam Ennaciri ◽  
Mohammed Erritali ◽  
Mustapha Mabrouki ◽  
Jamaa Bengourram
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Compression Ratio ◽  
Image Data ◽  
Discrete Wavelet ◽  
Original Image ◽  
Essential Quality ◽  
Image Data Compression ◽  
Wavelet Image

The objective of this paper is to study the main characteristics of wavelets that affect the image compression by using the discrete wavelet transform and lead to an image data compression while preserving the essential quality of the original image. This implies a good compromise between the image compression ratio and the PSNR (Peak Signal Noise Ration).

scholarly journals Discrete Hermite Wavelet Filters with Prove Mathematical Aspects

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Asma Abdulelah Abdulrahman ◽  
Mohammed Rasheed ◽  
Suha Shihab
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Compression Ratio ◽  
Image Decomposition ◽  
Noise Removal ◽  
Wavelet Filter ◽  
High Compression Ratio ◽  
Wavelet Filters ◽  
Different Levels

This article describes a new image processing method in order to enhance the images under testing based on discrete Hermite wavelet filter. Discrete Hermite Wavelet Transform, which was used in image processing, including compression and noise removal was used after a number of theories proved to be mathematically ready for use in image processing. Through Discrete Hermite Wavelet Transform at different levels by finding a new filter and using it to find peak-to-noise ratio values (PSNR), compression ratio, mean square error (MSE) and bits per pixel found. Achieving a high compression ratio is acquired by using a new image decomposition algorithm. Bit reduction per pixel is obtained at the second level when increasing the level of decomposition to obtain compression ratio while PSNR is decreased with the basic wavelets, due to the features that characterize Discrete Hermite Wavelet Transform. A new filter was discovered more efficient and effective in reducing the error significantly in rebuilding, MSE and bits per pixel, the samples image is used show efficient intermittent wavelets that were built in this work. This method enabling to extract the integration matrices using Hermite wavelet operation matrix of integration that leads to improve the quality of images under testing. The obtained results for decreasing of and increasing of confirm the accuracy and effectiveness of the proposed method. These results can be used in many fields such as medicine, science treatment, compression, and noise removal images.

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