scholarly journals A Novel Optimized Golomb-Rice Technique for the Reconstruction in Lossless Compression of Digital Images

2013 ◽  
Vol 2013 ◽  
pp. 1-5
Author(s):  
Shaik. Mahaboob Basha ◽  
B. C. Jinaga
Keyword(s):  
Image Compression ◽  
Digital Images ◽  
Visual Quality ◽  
Natural Images ◽  
Picture Quality ◽  
Compression Efficiency ◽  
Still Image ◽  
Efficiency Parameter ◽  
Image Compression Algorithm

The research trends that are available in the area of image compression for various imaging applications are not adequate for some of the applications. These applications require good visual quality in processing. In general the tradeoff between compression efficiency and picture quality is the most important parameter to validate the work. The existing algorithms for still image compression were developed by considering the compression efficiency parameter by giving least importance to the visual quality in processing. Hence, we proposed a novel lossless image compression algorithm based on Golomb-Rice coding which was efficiently suited for various types of digital images. Thus, in this work, we specifically address the following problem that is to maintain the compression ratio for better visual quality in the reconstruction and considerable gain in the values of peak signal-to-noise ratios (PSNR). We considered medical images, satellite extracted images, and natural images for the inspection and proposed a novel technique to increase the visual quality of the reconstructed image.

Methods for Assessing Still Image Compression Efficiency

2016 ◽  
pp. 389-416
Author(s):  
Dinu Dragan ◽  
Veljko B. Petrovic ◽  
Dragan Ivetic
Keyword(s):  
Image Compression ◽  
Computational Efficiency ◽  
Communication Systems ◽  
Compression Technique ◽  
Compression Efficiency ◽  
Still Image ◽  
Efficiency Assessment ◽  
Unique Method ◽  
Picture Archiving And Communication

Assessing the computational efficiency of an image compression technique plays an important part in evaluations used to estimate the overall quality of the compression. In this chapter, different methods for assessing computational efficiency will be explored as a part of the evaluations used to determine still image compression usability in image storage/communication systems such as a Picture Archiving and Communication System. Efficiency describes how well the image compression makes use of the available computing resources. It is not an obligatory part of evaluation and there is no unique method for assessing compression efficiency. The results of compression efficiency assessment are usually interpreted in the context of the hardware and software platform used in the evaluation. This dependence is addressed and different ways for its amelioration are discussed in the chapter. This is the groundwork for research in developing a platform-independent method for assessing compression efficiency.

scholarly journals An Improved Image Compression Technique Using EZW and SPHIT Algorithms

2019 ◽  
Vol 32 (2) ◽  
pp. 145
Author(s):  
Aqeel K. Kadhim ◽  
Abo Bakir S. Merchany ◽  
Ameen Babakir
Keyword(s):  
Image Compression ◽  
Image Coding ◽  
High Performance ◽  
Input Image ◽  
Compression Technique ◽  
Compression Efficiency ◽  
Compression Algorithms ◽  
Still Image ◽  
Significant Compression

 Uncompressed form of the digital images are needed a very large storage capacity amount, as a consequence requires large communication bandwidth for data transmission over the network. Image compression techniques not only minimize the image storage space but also preserve the quality of image. This paper reveal image compression technique which uses distinct image coding scheme based on wavelet transform that combined effective types of compression algorithms for further compression. EZW and SPIHT algorithms are types of significant compression techniques that obtainable for lossy image compression algorithms. The EZW coding is a worthwhile and simple efficient algorithm. SPIHT is an most powerful technique that utilize for image compression depend on the concept of coding set of wavelet coefficients as zero trees. The proposed compression algorithm that combined dual image compression techniques (DICT) invest an excellent features from each methods, which then produce promising technique for still image compression through minimize bits number that required to represent the input image, to the degree allowed without significant impact on quality of reconstructed image. The experimental results present that DICT will improve the image compression efficiency between 8 to 24%, and will result high performance of metrics values.

AN IMPROVED EMBEDDED ZEROTREE WAVELET IMAGE CODING METHOD BASED ON COEFFICIENT PARTITIONING USING MORPHOLOGICAL OPERATION

2000 ◽  
Vol 14 (06) ◽  
pp. 795-807 ◽  
Author(s):  
JUNMEI ZHONG ◽  
C. H. LEUNG ◽  
Y. Y. TANG
Keyword(s):  
Image Compression ◽  
Video Coding ◽  
Image Coding ◽  
Experimental Results ◽  
Morphological Operation ◽  
Compression Algorithms ◽  
Still Image ◽  
Coding Method ◽  
Wavelet Image ◽  
Image Compression Algorithm

In recent years, wavelets have attracted great attention in both still image compression and video coding, and several novel wavelet-based image compression algorithms have been developed so far, one of which is Shapiro's embedded zerotree wavelet (EZW) image compression algorithm. However, there are still some deficiencies in this algorithm. In this paper, after the analysis of the deficiency in EZW, a new algorithm based on quantized coefficient partitioning using morphological operation is proposed. Instead of encoding the coefficients in each subband line-by-line, regions in which most of the quantized coefficients are significant are extracted by morphological dilation and encoded first. This is followed by using zerotrees to encode the remaining space which has mostly zeros. Experimental results show that the proposed algorithm is not only superior to the EZW, but also compares favorably with the most efficient wavelet-based image compression algorithms reported so far.

PECSI: A PRACTICAL PERCEPTUALLY-ENHANCED COMPRESSION FRAMEWORK FOR STILL IMAGES

2009 ◽  
Vol 09 (04) ◽  
pp. 511-529
Author(s):  
ALEXANDER WONG
Keyword(s):  
Image Compression ◽  
Perceptual Quality ◽  
Computationally Efficient ◽  
Still Images ◽  
Image Encoding ◽  
Still Image ◽  
Block Based ◽  
Perceptual Characteristics ◽  
Image Decoding

This paper presents PECSI, a perceptually-enhanced image compression framework designed to provide high compression rates for still images while preserving visual quality. PECSI utilizes important human perceptual characteristics during image encoding stages (e.g. downsampling and quantization) and image decoding stages (e.g. upsampling and deblocking) to find a better balance between image compression and the perceptual quality of an image. The proposed framework is computationally efficient and easy to integrate into existing block-based still image compression standards. Experimental results show that the PECSI framework provides improved perceptual quality at the same compression rate as existing still image compression methods. Alternatively, the framework can be used to achieve higher compression ratios while maintaining the same level of perceptual quality.

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.

DCTlab: Educational Software for Still Image Compression and its Application in a Digital Television Course

2001 ◽  
Vol 38 (3) ◽  
pp. 187-198 ◽  
Author(s):  
Mislav Grgić ◽  
Sonja Grgić ◽  
Branka Zovko-Cihlar
Keyword(s):  
Image Compression ◽  
Learning Outcomes ◽  
Discrete Cosine Transform ◽  
Educational Software ◽  
Digital Television ◽  
Picture Quality ◽  
Still Image ◽  
Moving Images ◽  
Spatial Redundancy ◽  
Current Standards

Current standards for the compression of still and moving images use Discrete Cosine Transform (DCT) to remove spatial redundancy in images. Students specialising in image and video system engineering need to know why DCT is important in their field of interest and to understand the influence of DCT-based image compression on picture quality. Therefore, we have developed educational software, called DCTlab, that helps students to analyse DCT application in still image compression systems. This paper describes software characteristics, its application in a digital television course and learning outcomes.

Block-Based High Capacity Multilevel Image Steganography

2016 ◽  
Vol 25 (08) ◽  
pp. 1650091 ◽  
Author(s):  
Geeta Kasana ◽  
Kulbir Singh ◽  
Satvinder Singh Bhatia
Keyword(s):  
Digital Images ◽  
High Capacity ◽  
Block Size ◽  
Visual Quality ◽  
Cover Image ◽  
Embedding Capacity ◽  
Secret Data ◽  
Block Based ◽  
High Embedding Capacity

This paper proposes a block-based high capacity steganography technique for digital images. The cover image is decomposed into blocks of equal size and the largest pixel of each block is found to embed the secret data bits and also the smallest pixel of each block is used for embedding to enhance the capacity. Embedding of secret data is performed using the concept that the pixel of a cover image has only two states — even and odd. Multilevel approach is also combined in the proposed technique to achieve high embedding capacity. In order to make the proposed technique more secure, a key is generated using embedding levels, block size, pixel embedding way, encryption parameters, and starting blocks of each embedding levels. Embedding capacity and visual quality of stego images generated by the proposed steganography technique are higher than the existing techniques. Steganalysis tests have been performed to show the un-detectability and imperceptibility of the proposed technique.

IMAGE COMPRESSION SYSTEM FOR MOBILE COMMUNICATION: ADVANCEMENT IN THE RECENT YEARS

2006 ◽  
Vol 15 (05) ◽  
pp. 777-815 ◽  
Author(s):  
M. B. I. REAZ ◽  
M. AKTER ◽  
F. MOHD-YASIN
Keyword(s):  
Image Compression ◽  
Mobile Communication ◽  
Hardware Implementation ◽  
Flexible Structures ◽  
Cost Effective ◽  
Image Transmission ◽  
Wireless Channel ◽  
Huge Amount ◽  
Still Image ◽  
Image Compression Algorithm

Mobile communication has a great potential to the users due to fulfilling the dreams of real-time multimedia communication like voice, image, and text. The huge amount of data redundancy in still image should be compressed using exact image compression algorithm (ICA) before transmitting via wireless channel. Thus, an ICA should be adaptive, simple, and cost-effective and suitable for feasible implementation. Hardware implementation of the different algorithms has improved using modern, fast, and cost-effective technologies. The main aim of this paper is to review and demonstrate various ICAs developed based on image transmission via wireless channel as well as their hardware implementation. Finally, this review makes bridge for researchers to the future relative studies between different algorithms and architectures, and stands as a reference point for developing more controlling and flexible structures.

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