scholarly journals Comparitive Analysis and Findings on Dct & Lbg Compression Techniques

2020 ◽  
Vol 9 (06) ◽  
pp. 25075-25084
Author(s):  
Mr. Moayad Al Falahi ◽  
Dr. Janaki Sivakumar
Keyword(s):  
College Students ◽  
User Interface ◽  
Image Compression ◽  
Graphical User Interface ◽  
Lossless Compression ◽  
Compression Process ◽  
Compression Technique ◽  
Lbg Algorithm ◽  
Before And After ◽  
Bulk Processing

The main objective of this project is to develop an application to find the best compression technique to store Muscat College students' photographs in less storage. MATLAB software will be used to develop a Graphical User Interface GUI application and implement two image compression techniques which are lossless compression using the DCT algorithm and lossy compression using the LBG algorithm.  The application shall allow the user to select and test a sample image by applying both these techniques for any student image he\she selects in order to compare the results by display the image after compression and the histogram to find which the most suitable compression technique is. Also, the application shall show the size of images before and after applying the compression process and show the compression ratio and relative data redundancy of compressed image/images. The main functionality is that the application shall allow the user to do bulk processing to apply image enhancement and image compression technique to enhance and compress all the photographs of students and store them in less space.

scholarly journals Survey of Hybrid Image Compression Techniques

2017 ◽  
Vol 7 (4) ◽  
pp. 2206
Author(s):  
Emy Setyaningsih ◽  
Agus Harjoko
Keyword(s):  
Image Compression ◽  
Compression Ratio ◽  
Lossless Compression ◽  
Quality Data ◽  
Compression Method ◽  
Compression Process ◽  
High Quality ◽  
Compression Technique ◽  
Technique Development

A compression process is to reduce or compress the size of data while maintaining the quality of information contained therein. This paper presents a survey of research papers discussing improvement of various hybrid compression techniques during the last decade. A hybrid compression technique is a technique combining excellent properties of each group of methods as is performed in JPEG compression method. This technique combines lossy and lossless compression method to obtain a high-quality compression ratio while maintaining the quality of the reconstructed image. Lossy compression technique produces a relatively high compression ratio, whereas lossless compression brings about high-quality data reconstruction as the data can later be decompressed with the same results as before the compression. Discussions of the knowledge of and issues about the ongoing hybrid compression technique development indicate the possibility of conducting further researches to improve the performance of image compression method.

Pitch strength and annoyance of acoustic analogs of flutter echo - a pilot study

2021 ◽  
Vol 263 (4) ◽  
pp. 2145-2156
Author(s):  
Anne Balant ◽  
Heather Lai ◽  
Vayda M. Wilson
Keyword(s):  
College Students ◽  
User Interface ◽  
Pilot Study ◽  
Graphical User Interface ◽  
Scaling Method ◽  
Short Pulses ◽  
Pulse Trains ◽  
Pitch Matching ◽  
Category Scaling

The impetus for this pilot study was the observation of flutter echoes on the aisle of a church with a barrel-vaulted ceiling. When source and receiver height were comparable, the flutter echoes consisted of a 39-msec repeating pattern of three short pulses that persisted for reverberation times of up to 5 sec. The disruptive quality of these echoes perceptually was striking. It was hypothesized that the perception of a sequence of rapidly alternating periodicity pitches might be the source of this disruptive quality. A pilot study was conducted to assess the perceived pitch, pitch strength, and annoyance of isochronous and anisochronous synthetic pulse trains involving up to three different inter-pulse intervals per pattern. Intervals of the anisochronous pulse trains were controlled to create harmonic and inharmonic relationships among the intervals, which ranged from 5-20 msec. Twelve adult college students participated in the study remotely via videoconferencing due to social distancing requirements. A modified category scaling method was used. Participants positioned a slider on a graphical user interface to reflect their ratings of pitch strength and annoyance and used a slider to adjust the frequency of a reference tone for pitch matching. Results and implications for further research will be presented.

Quantization Encoding Algorithm Based Satellite Image Compression

2017 ◽  
Vol 8 (3) ◽  
pp. 740
Author(s):  
Anand M ◽  
V. Mathivananr
Keyword(s):  
Image Compression ◽  
Satellite Images ◽  
Satellite Image ◽  
Region Of Interest ◽  
Digital Data ◽  
Storage Space ◽  
Compression Process ◽  
Compression Technique ◽  
Transmission Bandwidth ◽  
Image Technique

In the field of digital data there is a demand in bandwidth for the transmission of the videos and images all over the worlds. So in order to reduce the storage space in the field of image applications there is need for the image compression process with lesser transmission bandwidth. So in this paper we are proposing a new image compression technique for the compression of the satellite images by using the Region of Interest (ROI) based on the lossy image technique called the Quantization encoding algorithm for the compression. The performance of our method can be evaluated and analyzing the PSNR values of the output images.

scholarly journals Image Compression Using Swarm Intelligence

2021 ◽  
Vol 14 (1) ◽  
pp. 257-269
Author(s):  
Shahbaa Khaleel ◽  
Keyword(s):  
Image Compression ◽  
Swarm Intelligence ◽  
Clustered Data ◽  
Image Data ◽  
Lossless Compression ◽  
Color Images ◽  
New Method ◽  
Grey Wolf ◽  
Compression Process ◽  
Fuzzy Method

As a result of the development in multimedia technology and direct dealing with it in social media, it has led to interest in the techniques of compacting color images because of their importance at present. Since image compression enables the representation of color image data with the fewest number of bits, which reduces transmission time in the network and increases transmission speed. To ensure the compression process is performed without loss of data, the lossless compression methods are used because no data is lost during the compression process. In this research, a new system was presented to compress the color images with efficiency and high quality. Where the swarm intelligent methods were used, as well as hybridizing it with fuzzy using the Gustafson kessel fuzzy method to improve the clustering process and create new clustering methods with fuzzy swarm intelligence to obtain the best results. Swarm algorithms were used to perform the process of clustering the image data to be compressed and then obtaining a clustered data for this image data. In contrast, a lossless compression method was used to perform the encoding of this clustered data where the huffman method was used for encoding. Four methods were applied in this research to different color and lighting images. The PSO swarm intelligent was used, which in turn was hybridized with the Gustafson kessel fuzzy method to produce a new method for fuzzy particle swarm (FPSO), as well as the grey wolf optimization method GWO, which was hybridized with Gustafson kessel and obtained a new method, which is the fuzzy grey wolf optimizer FGWO, and the results were graded efficiently from the first to the fourth method, where the FGWO method with the huffman was the most efficient depending on the standards measurement that were calculated for all methods, the compression ratio was high in this new method, in addition to the standards of MSE, RMSE, PSNR, etc. among the important measurements of the compressing process.

scholarly journals A Survey on Image Compression using Burrows Wheeler Transform

2017 ◽  
Vol 6 (2) ◽  
pp. 29
Author(s):  
Manasi Rath ◽  
Suvendu Rup
Keyword(s):  
Image Compression ◽  
Review Paper ◽  
Lossless Compression ◽  
Text Compression ◽  
Compression Technique ◽  
Methodological Review ◽  
A New Technique ◽  
High Level ◽  
Burrows Wheeler Transform ◽  
Compression Field

<em>This paper is a methodological review paper on image compression using Burrows Wheeler Transform. Normally BWT is used for text compression but it has been recently applied to image compression field. Basically it is a lossless compression technique which is used for high level resolution.This paper proposes about several scheme added with BWT to improve the performance of image compression which helps us to formulate a new technique for the further improvement in BWT. Here many authorshave different type of representation of BWT for better compression.</em>

Improved image compression using effective lossless compression technique

2018 ◽  
Vol 22 (S2) ◽  
pp. 3911-3916 ◽  
Author(s):  
C. Raghavendra ◽  
S. Sivasubramanian ◽  
A. Kumaravel
Keyword(s):  
Image Compression ◽  
Lossless Compression ◽  
Compression Technique

scholarly journals A Survey on Image Compression using Burrows Wheeler Transform

2017 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Manasi Rath ◽  
Suvendu Rup
Keyword(s):  
Image Compression ◽  
Review Paper ◽  
Lossless Compression ◽  
Text Compression ◽  
Compression Technique ◽  
Methodological Review ◽  
A New Technique ◽  
High Level ◽  
Burrows Wheeler Transform ◽  
Compression Field

<em>This paper is a methodological review paper on image compression using Burrows Wheeler Transform. Normally BWT is used for text compression but it has been recently applied to image compression field. Basically it is a lossless compression technique which is used for high level resolution.This paper proposes about several scheme added with BWT to improve the performance of image compression which helps us to formulate a new technique for the further improvement in BWT. Here many authorshave different type of representation of BWT for better compression.</em>

scholarly journals Comparative Study on Performance of Discrete Wavelength Transform and Huffman Compression Technique on 2D Signal

2021 ◽  
Vol 02 (01) ◽  
Author(s):  
Mumtaz Anwar Hussin ◽  
◽  
Farhana Ahmad Poad ◽  
Ariffuddin Joret ◽  
◽  
...  
Keyword(s):  
Image Compression ◽  
Computing Time ◽  
Similarity Index ◽  
Lossless Compression ◽  
Structural Similarity ◽  
Multimedia Data ◽  
Huffman Coding ◽  
Discrete Wavelet ◽  
Hybrid Technique ◽  
Compression Technique

Nowadays, the development of technology which involves multimedia data is widely used to help better understanding in spreading information. Image is known as 2D signal which contain huge data especially a high resolution image. This paper shows the comparison of applying lossy and lossless compression on the image data. Image compression is necessary in reducing the size of image for storage or transmission purpose to support most of the application nowadays. The technique applied in this paper is the hybrid of Discrete Wavelet Transform (DWT) technique and Huffman coding technique which are classified as lossy and lossless compression, respectively. The performance of image compression are evaluated in terms of compression ratio, Mean Square Error (MSE), Power Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM) and computing time. Several types of evaluation can determine better technique to apply on specific type of application. The stand-alone of each DWT and Huffman technique are evaluated before applying hybrid of DWT and Huffman technique. After conducting a comprehensive observation, the hybrid technique can compress with ratio about 1:17 to 1:27 due to the support from DWT technique that apply filter concept. The MSE value is high with the average about 69 which contributes to low PSNR value with about 29 to 30 dB due to the relation of PSNR equation with MSE value. Besides, the SSIM value is 0.6 or about 40% far from the original image that affect the output image. Despite of that, the computing time is fast with about 3 to 4 seconds which has been improved from stand-alone Huffman technique. Therefore, hybrid compression is capable of supporting each other techniques in stand-alone technique.

scholarly journals Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding

2018 ◽  
Vol 1 (1) ◽  
pp. 7-15
Author(s):  
Ida Bagus Gede Anandita ◽  
I Gede Aris Gunadi ◽  
Gede Indrawan
Keyword(s):  
Medical Images ◽  
Signal To Noise Ratio ◽  
Objective Assessment ◽  
Quality Measurement ◽  
Lossless Compression ◽  
Subjective Assessment ◽  
X Rays ◽  
Compression Process ◽  
Compression Technique ◽  
Run Length

Technological progress in the medical area made medical images like X-rays stored in digital files. The medical image file is relatively large so that the image needs to be compressed. The lossless compression technique is an image compression where the decompression results are the same as the original or no information lost in the compression process. The existing algorithms on lossless compression techniques are Run Length Encoding (RLE), Huffman, and Lempel Ziv Welch (LZW). This study compared the performance of the three algorithms in compressing medical images. The result of image decompression will be compared to its performance in the objective assessment such as ratio, compression time, MSE (Mean Square Error) and PNSR (Peak Signal to Noise Ratio). MSE and PSNR are used for quantitative image quality measurement for subjective assessment assisted by three experts who will compare the original image with the decompression image. Based on the results obtained from the objective assessment of compression performance of RLE algorithm showed the best performance by yielding ratio, time, MSE and PSNR respectively 86,92%, 3,11ms, 0 and 0db. For Huffman, the results can be 12.26%, 96.94ms, 0, and 0db respectively. While LZW results can be in sequence -63.79%, 160ms, 0.3 and 58.955db. For the results of the subjective assessment, the experts argued that all images can be analyzed well.

Sign in / Sign up

Export Citation Format

Share Document