Study on Different Lossless Image Compression Techniques

There are several different ways in which image files can be compressed. Compressing an image is significantly different than compressing raw binary 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 standar duses 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.