Digital Television Image Enhancement

1975 ◽  
Vol 84 (7) ◽  
pp. 545-551 ◽  
Author(s):  
John P. Rossi
Keyword(s):  
Image Enhancement ◽  
Digital Television ◽  
Television Image

scholarly journals CHOOSING A COMPRESSION STANDARD FOR TRANSMITTING A TELEVISION IMAGE

2020 ◽  
Vol 5 (333) ◽  
pp. 5-9
Author(s):  
M. Amreev ◽  
◽  
R. Safin ◽  
V. Yakubov ◽  
T. Pavlova ◽  
...  
Keyword(s):  
Visual Perception ◽  
New Technology ◽  
Information Delivery ◽  
Transport Layer ◽  
Digital Television ◽  
Transmission Systems ◽  
Compression Efficiency ◽  
Television Image

With the advent of the MPEG-4 Visual and H.264 compression standards, the role of the MPEG-2 compression standard has not diminished at the present time, since these standards are largely compatible, especially for information highways. Today, in a number of countries, the MPEG-2 compression standard is actually the main one for broadcasting, the functioning of which is based on the operation of DVB-T terrestrial digital television systems. Due to the fact that the majority of the currently used STBs support the MPEG-2 standard, it will remain widespread for at least the next few years. The ITU-T H.264 /MPEG-4 Part 10 AVC standard (abbreviated as H.264/AVC) is a promising new technology for encoding and compressing audiovisual information. The compression efficiency of the H.264/AVC standard is higher than the MPEG-2 standard with equal visual perception. The H.264/AVC standard was developed independent of the transport layer of the transmission systems used. Therefore, information delivery in the H.264/AVC standard can be carried out using any existing transmission and broadcasting systems, including: systems with IP protocols (including streaming delivery), transport streams of broadcasting systems in the MPEG-2 standard, as well as specific formats H.264 / AVC files for storage and processing on servers.

SOME TELEVISION IMAGE ENHANCEMENT TECHNIQUES

2006 ◽  
Vol 97 (2) ◽  
pp. 395-407 ◽  
Author(s):  
Winthrop S. Pike
Keyword(s):  
Image Enhancement ◽  
Television Image

ADAPTIVE NONLINEAR IMAGE ENHANCEMENT OF GAUSSIAN DEGRADED IMAGES

2010 ◽  
Vol 10 (03) ◽  
pp. 365-393
Author(s):  
RAHUL GOWDA ◽  
SHALIN M. MEHTA ◽  
YUE YANG ◽  
BAOXIN LI
Keyword(s):  
Image Enhancement ◽  
Gabor Filter ◽  
Empirical Relationship ◽  
Objective Evaluation ◽  
Gabor Filters ◽  
Input Image ◽  
Digital Television ◽  
Extensive Evaluation ◽  
Blurred Image ◽  
Novel Method

An adaptive technique for nonlinear image enhancement using Gabor filters is proposed. A set of Gabor filters are employed to extract high-pass components from the blurred image and these components are then nonlinearly processed before adding back to the input image for enhancement. Further, we propose a novel method for fast blur estimation and we establish an empirical relationship between the estimated blur and the optimal Gabor filter parameters, resulting in an enhancement system that is adaptive to the degree of blur in the input image. Extensive evaluation, including both PSNR-based objective evaluation and subjective psychophysical tests, confirms the advantages of the proposed approach over existing state-of-the-art methods. This enhancement approach is especially targeted at digital television applications where image blur is present due to various reasons like compression and resolution up-conversion.

تحقيق جودة الصورة التليفزيونية الرقمية المتحركة من خلال التصحيح اللوني = Realizing Digital Television Image Quality through Color Correction

2017 ◽  
Vol 7 (4) ◽  
pp. 177-192
Author(s):  
محمد علي عبد الكريم ◽  
وائل محمد عناني ◽  
محمد حسين أحمد عمار
Keyword(s):  
Image Quality ◽  
Color Correction ◽  
Digital Television ◽  
Television Image

Exploring Coronal Structures with SOHO

2000 ◽  
Vol 179 ◽  
pp. 403-406
Author(s):  
M. Karovska ◽  
B. Wood ◽  
J. Chen ◽  
J. Cook ◽  
R. Howard
Keyword(s):  
Solar Corona ◽  
Image Enhancement ◽  
Coronal Mass Ejections ◽  
Dynamical Evolution ◽  
Small Scale ◽  
Low Contrast ◽  
Contrast Structures ◽  
Scale Structures ◽  
Small Scale Structures ◽  
Coronal Structures

AbstractWe applied advanced image enhancement techniques to explore in detail the characteristics of the small-scale structures and/or the low contrast structures in several Coronal Mass Ejections (CMEs) observed by SOHO. We highlight here the results from our studies of the morphology and dynamical evolution of CME structures in the solar corona using two instruments on board SOHO: LASCO and EIT.

The on-line use of histogram data for high-speed correction and alignment of electron microscope images

1984 ◽  
Vol 42 ◽  
pp. 556-557
Author(s):  
William Krakow
Keyword(s):  
Power Spectrum ◽  
High Speed ◽  
Direct Memory Access ◽  
Digital Television ◽  
Contrast Transfer Function ◽  
The Past ◽  
High Resolution Tem ◽  
On Line ◽  
Correction Of Astigmatism ◽  
The Fourier Transform

In the past few years on-line digital television frame store devices coupled to computers have been employed to attempt to measure the microscope parameters of defocus and astigmatism. The ultimate goal of such tasks is to fully adjust the operating parameters of the microscope and obtain an optimum image for viewing in terms of its information content. The initial approach to this problem, for high resolution TEM imaging, was to obtain the power spectrum from the Fourier transform of an image, find the contrast transfer function oscillation maxima, and subsequently correct the image. This technique requires a fast computer, a direct memory access device and even an array processor to accomplish these tasks on limited size arrays in a few seconds per image. It is not clear that the power spectrum could be used for more than defocus correction since the correction of astigmatism is a formidable problem of pattern recognition.

Digital Television Systems

2009 ◽  
Author(s):  
Marcelo S. Alencar
Keyword(s):  
Digital Television

Color image-enhancement program.

1965 ◽  
Author(s):  
Norman Taylor
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Color Image Enhancement

Maximum entropy algorithm applied to image enhancement

1980 ◽  
Vol 127 (5) ◽  
pp. 170 ◽  
Author(s):  
G.J. Daniell ◽  
S.F. Gull
Keyword(s):  
Maximum Entropy ◽  
Image Enhancement

Digital Television

IEE Review ◽  
1990 ◽  
Vol 36 (11) ◽  
pp. 432
Author(s):  
Peter L. Mothersole
Keyword(s):  
Digital Television
Sign in / Sign up

Export Citation Format

Share Document