Content adaptive screen image scaling
This work addresses the need for efficient screen scaling in real-time applications, but it is incremental as it builds on existing interpolation techniques with content-specific adaptations.
The paper tackles the problem of real-time screen image scaling for applications like remote desktop by proposing a content adaptive scheme that classifies screen content into text and pictorial regions and uses an adaptive shift linear interpolation algorithm. The result is a method that achieves good visual quality while maintaining low complexity for real-time use.
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 real-time applications.