Wavelet image coding research hotspot issues oled module

In order to make the wavelet transform image coding method performance potential into full play, there are many problems to be solved, the current research work focuses on the effective organization of wavelet coefficients, the human visual characteristics of the application and select the best wavelet aspects. low temperature lcd

Effective organization  wavelet coefficients
For general images, the edges and contours are usually disordered, about their position often lack effective means of coding, it is difficult to find a better way to organize the coefficients. Therefore, the high frequency band coefficients of wavelet image effectively organize and coding wavelet image coding method is one of the keys. It is generally used to make zero-code continuous probability criterion to organize the biggest factor, the specific can be divided into two kinds: the high-frequency band in each individual according to the direction and the use of tissue factor relevant characteristics of each band using the structural organization of the quadtree coefficients.

Application of the human visual characteristics
In the image processing system, the visual redundancy status of the various forms of redundancy relative importance, so consider subjective characteristics of the human visual system is necessary. Image wavelet transform mechanism has some characteristics of the human eye perceive and process information is very consistent, but because people respect the limitations of the human visual characteristics, wavelet image compression is far from full use of the human visual characteristics, therefore, further research human visual system in the wavelet compression coding applications, deeper excavations image coding potential. 20x2 oled display

Best wavelet selection
Using wavelet image compression encoding, not all are suitable for wavelet decomposition of the image, the choice of different types of wavelet image compression effect is significant. Biorthogonal wavelet wavelet is better choice. But in image coding, wavelet image selection should also consider the characteristics and data boundary extension and other requirements, measurement criteria can only be the ultimate result of coding. Most occasions wavelet selection must be based on the specific application, based on experience to choose. How to choose the right according to the application wavelet which also look forward to further research.