Grayscale Image Compression Based on Min Max Block Truncating Coding
Khalil Barhoum, Majdi Ahed · 2011
This paper presents an image compression techniques based on block truncating coding. In this work, a min max block truncating coding (MM_BTC) is presented for grayscale image compression relies on applying dividing image into non-overlapping blocks. MM_BTC differ from other block truncating coding such as block truncating coding (BTC) in the way of selecting the quantization level in order to remove redundancy. Objectives measures such as: Bit Rate (BR), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Redundancy (R), were used to present a detailed evaluation of MM_BTC of image quality.