Interframe coding of videotelephone pictures

Haskell, Barry G.; Mounts, F. W.; Candy, James C.

doi:10.1109/proc.1972.8778

Cited by 73 publications

(13 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over half of a century, the area of digital picture coding has seen significant theoretical advances and technological breakthroughs, including the use of inter-frame coding of video pictures [15], the heyday of transform coding of images in 1970s and 1980s [16,17,18,1], the introduction of the fast block matching motion compensated prediction [19], and international image and video coding standards along with commercial devices, products and systems [20,21,22,23].…”

Section: A a Historical Perspectivementioning

confidence: 99%

Two Fundamental Challenges in Perceptual Picture Coding and Image Restoration

2007

2007 2nd IEEE Conference on Industrial Electronics and Applications

View full text Add to dashboard Cite

This paper examines two fundamental challenges in two areas, respectively, which have been intensively researched in the field of image processing and communications, i.e., digital picture coding/ compression and digital picture (including both video and still images) restoration (or de-noising). It reflects on historical developments and reviews the state-of-theart in the area of digital picture coding. Quantitative perceptual distortion measure based on the human visual system is identified as the weakest link in the current picture coding framework and remains a fundamental challenge in devising the next generation picture coding systems. In the area of picture restoration, the paper takes a special interest in surveillance and security video/image de-noising task for forensic investigations. Highlighting the most recent advances and the inadequacies in existing image de-noising techniques, it focuses on a fundamental challenge in designing a unified picture de-noising framework, including noise modeling, for removal of analogue and digital surveillance video distortions. 1

show abstract

Section: A a Historical Perspectivementioning

confidence: 99%

Two Fundamental Challenges in Perceptual Picture Coding and Image Restoration

2007

2007 2nd IEEE Conference on Industrial Electronics and Applications

View full text Add to dashboard Cite

show abstract

“…We have simulated this technique for comparison purposes and a brief description is given in chapter III. A review of the above techniques and some other simpler techniques is given in [24].…”

Section: Background and Review Of Current Multiframe Coding Techniquesmentioning

confidence: 99%

“…Most of the coders described in [13,24,42,44] are designed for a data rate of 0.25 -1.0 bits/pixel and for a signal with 1 MHz bandwidth, the data rate is .5 -2 Mbits/sec. In [261 a very low bit rate coder, .1 bit/pixel,or 0.2 Mbits/sec., has been described which reproduces the stationary areas quite well, but scenes containing moderate and large motions are visibly smeared and blurred.…”

Section: Background and Review Of Current Multiframe Coding Techniquesmentioning

confidence: 99%

Interframe Adaptive Data Compression Techniques for Images.

Jain¹,

Jain²

1979

View full text Add to dashboard Cite

“…Puri et al [18] designed an adaptive video coder using the predicted visibility of noise on flat areas, textures, and edges. Haskell et al [19] suggested that observers are more tolerant of distortions in moving images than in stationary images due to a presumed difficulty of focusing on details on moving objects. More recently, the just-noticeable distortion (JND) has been applied to adaptive image coding [20] and on the visibility of noise in videos [21].…”

Section: Introductionmentioning

confidence: 99%