English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Problem statement: Efficient color image compression algorithm is essential for mass&#13; storage and the transmission of the image. The compression efficiency of the Set Partitioning in&#13; Hierarchical Tree (SPIHT) coding algorithm for color images is improved by using correlation theory.&#13; Approach: In this study the correlation between the color channels are used to propose the new&#13; algorithm. The correlation between the color channels are analyzed in various color spaces and the&#13; color space CIE-UVW in which the color channels are highly correlated is taken. The most correlated&#13; U channel is considered as base color and compressed by using the wavelet filter and the SPIHT&#13; algorithm. The linear approximation of the two of the color components (V and W) based on the&#13; primary color component U is used to code subordinate color components. The image is divided into&#13; N*N blocks in each color channels. The linear approximation coefficients are calculated for each block&#13; of the subordinate colors V and W as functions of the base color. Only these coefficients of each block&#13; are coded and send to the receiver along with the SPIHT coding of the base color. Results: By using&#13; this algorithm, a significant (4 dB mean value) Peak Signal to Noise Ratio (PSNR) improvement is&#13; obtained compared to the traditional coding scheme for the same compression rate and reduces the&#13; coding and decoding time. Also the proposed compression algorithm reduces the complexity in coding&#13; and decoding algorithms. Conclusion: This algorithm allows the reduction of complexity for both&#13; coding and decoding of color images. It is concluded that a significant PSNR gain and visual quality&#13; improvement is obtained. It is found that in color image coding, this algorithm is superior to the&#13; traditional de-correlation based methods and reduces the coding and decoding time

Enhancing the Color Set Partitioning in Hierarchical Tree (SPIHT) Algorithm Using Correlation Theory