Wavelet image coding method TFT Display Module

Embedded zerotree image coding (EZW) OLED Display Module
Shapiro 1992, proposed embedded EZW coding (EZW, i.e. embedded zerotree wavelet) method, which according to the same direction, different resolution subband similarity between images, the wavelet coefficients by the least (less than a certain threshold wavelet coefficients) organized as quadtree, and with fewer number of bits to represent it, thus greatly improving the image compression bit rate. EZW algorithm is a simple, but very effective image coding algorithm, which is to get the bits in the bit stream are sorted according to their importance. Using this algorithm, the coding can be at any point by the end of the code, thus allowing accurate to any target or target ratio distortion, but this time still produce exactly the same image. This algorithm does not require training feature is absolutely not required to pre-stored codebook point format, the image source does not require any prior knowledge. Therefore, some scholars believe, Shapior zero-tree wavelet image coding concept study of a milestone.
Hierarchical allocation of the sample tree image coding (SPIHT)
Allocated in a hierarchical tree sample image coding (SPIHT, ie set partitioning in hierarchical trees) is A.Said and WAPearlman proposed in 1996 an efficient compression algorithm, and its performance is better than EZW algorithm. EZW algorithm SPIHT algorithm is a further improvement, it is a tree node and all successor nodes are classified as the same collection, the collection is constantly segmentation process is divided into four sub-set of the set key, and then separately for each subset the importance of testing, in accordance with the minimum MSE ideological priority transmission coefficient magnitude larger.
Morphological representation of wavelet image coding data (MRWD)
1999 D.Servettto presents a morphological representation of wavelet image coding data (MRWD, ie morphological representation of wavelet data) method. And the EZW and SPIHT different, EZW and SPIHT is rule tree structure or a tree structure similar to a non-critical sub-band part and the formation MRWD significant portion of subband coding irregular beam. MRWD using mathematical morphology and statistical properties of wavelet coefficients (in the image sub-band wavelet coefficients at least two subsets have different statistical characteristics), directly in the subband significant coefficients generated irregularly shaped beam, so that the wavelet coefficient is divided into four collections, and then encode the collection beam. Low Temperature Display