Image Signal Decomposition Using Polynomial Representation with Hybrid Lossy and Non-Lossy Coding Scheme

This article presents a polynomial-based image compression scheme, which consists of using the color model (YUV) to represent contents and two-dimensional polynomial coding (first-order) with variable block size according correlation between neighbor pixels. The residual part for all bands is analyzed into two parts, most important (big) part, least (small) parts. Due significant subjective importance big group; lossless (based on Run-Length spatial coding) used it. Furthermore, lossy system scheme utilized approximately small it based an error-limited adaptive transform (discrete cosine or bi-orthogonal transform). Experimentally, developed has achieved high ratios acceptable quality images. performance results are comparable those introduced in recent studies; accomplishment was compared JPEG standard. show better than that