scholarly journals Comparison of Lossless Image Formats

2021 ◽  
Author(s):  
David Barina
Keyword(s):  
Image Compression ◽  
Video Compression ◽  
Lossy Compression ◽  
Critical Question ◽  
Lossless Image Compression ◽  
Image And Video Compression

In recent years, a bag with image and video compression formats has been torn. However, most of them are focused on lossy compression and only marginally support the lossless mode. In this paper, I will focus on lossless formats and the critical question: "Which one is the most efficient?" It turned out that FLIF is currently the most efficient format for lossless image compression. This finding is in contrast to that FLIF developers stopped its development in favor of JPEG XL.

scholarly journals REVIEW ON IMAGE AND VIDEO COMPRESSION STANDARDS

2017 ◽  
Vol 10 (13) ◽  
pp. 373 ◽  
Author(s):  
Madhavee Latha. P ◽  
Annis Fathima. A
Keyword(s):  
Image Compression ◽  
Video Compression ◽  
Minimum Size ◽  
The Internet ◽  
Hard Disk Space ◽  
Acceptable Quality ◽  
Audio Video ◽  
Text Images ◽  
Personal Devices ◽  
Image And Video Compression

Nowadays, the number of photos taken each day is growing exponentially on phones and the number of photos uploading on Internet is also increasing rapidly. This explosion of photos in Internet and personal devices such as phones posed a challenge to the effective storage and transmission.Multimedia files are the files having text, images, audio, video, and animations, which are large and require lots of hard disk space. Hence, these files take more time to move from one place to another place over the Internet. Image compression is an effective way to reduce the storage space and speedup the transmission. Data compression is used everywhere on the internet, that is, the videos, the images, and the music in online. Even though many different image compression schemes exist, current needs and applications require fast compression algorithms which produce acceptable quality images or video with minimum size. In this paper, image and video compression standards are discussed.

Image and Video Compression: A Review

1997 ◽  
Vol 08 (01) ◽  
pp. 119-177 ◽  
Author(s):  
Christine I. Podilchuk ◽  
Robert J. Safranek
Keyword(s):  
Image Compression ◽  
Visual System ◽  
Video Compression ◽  
Image Coding ◽  
Human Visual System ◽  
Bit Rate ◽  
Low Bit Rate ◽  
Wide Range ◽  
Coding Standards ◽  
Image And Video Compression

The area of image and video compression has made tremendous progress over the last several decades. The successes in image compression are due to advances and better understanding of waveform coding methods which take advantage of the signal statistics, perceptual methods which take advantage of psychovisual properties of the human visual system (HVS) and object-based models especially for very low bit rate work. Recent years have produced several image coding standards—JPEG for still image compression and H.261, MPEG-I and MPEG-II for video compression. While we have devoted a special section in this paper to cover international coding standards because of their practical value, we have also covered a large class of nonstandard coding technology in the interest of completeness and potential future value. Very low bit rate video coding remains a challenging problem as does our understanding of the human visual system for perceptually optimum compression. The wide range of applications and bit rates, from video telephony at rates as low as 9.6 kbps to HDTV at 20 Mbps and higher, has acted as a catalyst for generating new ideas in tackling the different challenges characterized by the particular application. The area of image compression will remain an interesting and fruitful area of research as we focus on combining source coding with channel coding and multimedia networking.

Pixel pyramid for lossless image compression using Arithmetic Coding

1993 ◽  
Author(s):  
Krystyna Ohnesorge ◽  
Peter Stucki ◽  
Hartwig Thomas
Keyword(s):  
Image Compression ◽  
Arithmetic Coding ◽  
Lossless Image Compression

scholarly journals A note on the extension of a family of biorthogonal Coifman wavelet systems

2004 ◽  
Vol 46 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Zhuhan Jiang ◽  
Xiling Guo
Keyword(s):  
Video Compression ◽  
Vanishing Moments ◽  
Coifman Wavelets ◽  
Image And Video Compression

AbstractWavelet systems with a maximum number of balanced vanishing moments are known to be extremely useful in a variety of applications such as image and video compression. Tian and Wells recently created a family of such wavelet systems, called the biorthogonal Coifman wavelets, which have proved valuable in both mathematics and applications. The purpose of this work is to establish along with direct proofs a very neat extension of Tian and Wells' family of biorthogonal Coifman wavelets by recovering other “missing” members of the biorthogonal Coifman wavelet systems.

Lossy-to-lossless image compression based on multiplier-less reversible integer time domain lapped transform

2010 ◽  
Vol 25 (8) ◽  
pp. 622-632 ◽  
Author(s):  
Lei Wang ◽  
Licheng Jiao ◽  
Jiaji Wu ◽  
Guangming Shi ◽  
Yanjun Gong
Keyword(s):  
Image Compression ◽  
Time Domain ◽  
Lossless Image Compression
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