期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：2
页码：217-220
出版社：Technopark Publications
摘要：Digital image compression is playing an important role despite the rapid progress in digital communications and mass storage devices in the recent years. The efficient storage, manipulation and transmission of digitized pictures still remain a major challenge. In applications like video streaming, satellite imaging, medical imaging and high quality photography the size of data to be transferred is incredibly large when compared to the bandwidth available in the communication channel. Data compression is the technique to reduce the redundancies in data representation in order to decrease data storage requirements and hence communication costs. Image compression addresses the problem of reducing the amount of data required to represent a digital image. Digital images contain large amount of information that need evolving effective techniques for storing and transmitting the ever increasing volumes of data. Image compression addresses the problem by reducing the amount of data required to represent a digital image. The uncompressed image data requires a large storage capacity and transmission bandwidth. The purpose of the image compression algorithm is to reduce the amount of data required to represents the image with less degradation in the visual quality and without any information loss. In a monochrome image, the neighboring pixels are more correlated. The discrete cosine transform (DCT) and wavelet transform are commonly used to reduce the redundancy between the pixels and for energy compaction. The JPEG standard uses the DCT and the JPEG2000 standard uses the wavelet Inter Color Correlation Based Enhanced Color In a color image, correlation exists between the neighboring pixels of each color channel and as well as between the color channels But pixels beyond the neighbor matrix will not match so we will introduce a new method that is based on the image byte streaming and color correlation.
