Hybrid Color Image Compression Using Signals Decomposition with Lossy and Lossless Coding Schemes

This paper proposes a new, improved compression technique to compress color images. Compression knows days have become more critical because of the increasing demand for internet use and the exchange of many images, videos, and audio. This technique converts an image to YUV. The signal decomposition divides the image into significant components (C1) and small components (C2) parts; big indicates the energetic Component, and the detail is the small Component. Each Component is passed through different processing steps. The most vibrant part is passed through sequences of lossless coding steps to preserve the quality of the main features. The included coding steps are Bit plane Coding followed by Quadtree Coding. Meanwhile, the detailed Component was passed through a series of lossy coding steps using a controlled wavelet-based error criterion and quantization. Also, delta pulse code modulation (Delta PCM) was used to encode the (LL) component of the image due to its significance and to avoid causing significant distortions. While the rest components (LH, HL, HH) by discarding the small Bit plane and only encode the most important planes, the output of each encoded Bit plane is handled using Quadtree Coding. As a last stage of the energetic and detailed components, an adaptive shift coding. The proposed technique was tested on Lena and Baboon Images; testing results indicated that the suggested system could produce a good compression ratio while preserving the image's quality under control