• Anamika Kumari
• Dr. Amrita Pahadia
• Suresh. S. Gawande

Fractal image compression (FIC) is a novel technique which promises higher compression efficiency for large scale images. FIC is a lossy compression method for digital images based on fractals. The method is best suited for natural images relying on the fact that parts of an image resemble other parts of the same image. The proposed research work aims at development and implementation of various FIC techniques computing Compression Ratio (CR), mean square error (MSE) and Peak Signal to Noise Ratio (PSNR) for the imageries. The FIC also addresses the issue of reducing the encoding time. FIC has been implemented using wavelet and inter color correlation system. Partitioning of the image will be carried out using 16×16 and 32×32 range block. The approach to classify image block more accurately based on the FIC techniques will accelerate fractal encoding process to achieve higher CR while keeping good quality of the reconstructed image and speedup encoding-decoding time.

Multi-level Block Truncation Code (ML-BTC), Bit Map, Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Inter Color Correlation

"Fractal Color Image Compression using Wavelets and Inter-Color Correlation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.e685-e690, February-2023, Available :http://www.jetir.org/papers/JETIR2302480.pdf

"Fractal Color Image Compression using Wavelets and Inter-Color Correlation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppe685-e690, February-2023, Available at : http://www.jetir.org/papers/JETIR2302480.pdf