Image Compression Using Improved Seam Carving With Hybrid Compression Technique
In recent years, the development and demand of multimedia product grows progressively fast, contributing to inadequate bandwidth of network and memory storage for device. Therefore, the term called compression becomes more and more significant. There are many image compression methods which compress the image as a whole and not considering the device storage and resources. Therefore, content aware image compression with low computational complexity is a bottleneck problem in the field of facility limited multimedia devices. The image coding method which already exists cannot support content-based high compression. In this paper, the image resizing technique, seam carving is combined with SPIHT. Block-based seam is generated on each input image and then carved out, which results a retargeted image, but the resultant output does not have good picture quality. To improve the picture quality of the image a simple linear resize operation is done. Then a multilevel discrete wavelet transform (DWT) is performed on the improved retargeted output and then Discrete Cosine Transform is combined with DWT as hybrid transforms to achieve better compression. The SPIHT coding technique is applied to transformed image, which results in a series of bit stream. As a result, an image can be recreated with arbitrary aspect ratio in a content-aware manner, with the help of the side information of seam energy map.