DocumentCode :
249162
Title :
Content adaptive screen image scaling
Author :
Yao Zhai ; Qifei Wang ; Yan Lu ; Shipeng Li
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3901
Lastpage :
3905
Abstract :
This paper proposes an efficient content adaptive screen image scaling scheme for the real-time screen applications like remote desktop and screen sharing. In the proposed screen scaling scheme, a screen content classification step is first introduced to classify the screen image into text and pictorial regions. Afterward, we propose an adaptive shift linear interpolation algorithm to predict the new pixel values with the shift offset adapted to the content type of each pixel. The shift offset for each screen content type is offline optimized by minimizing the theoretical interpolation error based on the training samples respectively. The proposed content adaptive screen image scaling scheme can achieve good visual quality and also keep the low complexity for realtime applications.
Keywords :
image classification; interpolation; screens (display); adaptive shift linear interpolation algorithm; content adaptive screen image scaling; interpolation error minimization; pictorial regions; real-time screen applications; remote desktop; screen content classification step; screen image classification; screen sharing; text regions; training samples; visual quality; Algorithm design and analysis; Classification algorithms; Complexity theory; Filtering; Image color analysis; Interpolation; Visualization; content adaptive; low complexity; scaling; screen image; shift linear interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025792
Filename :
7025792
Link To Document :
بازگشت