Enhancing Quality of Lossy Compressed Images using Minimum Decreasing Technique

Ahmed L,Mohammed Otair

doi:10.14569/ijacsa.2018.090353

Abstract

The acceleration in technology development came with the urgent need to use large amounts of information, and the way of storing or transferring the huge information via various digital networks became very important issues, particularly in terms of compressing size and quality preservation. The digital image usage has become widespread in many sectors; it become important to manipulate these images to use them in optimal form by maintaining the quality, especially during the compression process using the lossy techniques. This paper presents a new technique to enhance the quality of compressed images while preserving the compression ratio by adding some of pre-processing steps before implementing any existing lossy compression technique. The proposed technique depends on decreasing the minimum elements from the image pixels values in each: row, column, and 2 2 block, respectively. These steps minimize the required number of bits to represent each pixel in the compressed images. In order to prove the efficiency of the proposed technique, two lossy compression techniques (novel and classical) were implemented with the proposed. They implemented on wide range of well-known images with different dimensions, sizes, and types. The experimental results show that the quality of the decompressed images with the proposed technique were enhanced in terms of: MSE, MAE and PSNR as quality evaluation metrics.

Highlights

The importance of the digital images and transmitting them along all networks either wired or wireless is increasing dayby-day
In order to prove that Minimizing Decreasing Technique (MDT) is suitable and efficient to be implemented before any lossy technique, two techniques were chosen as samples to achieve this purpose
The results show the superiority of MDT-RIFD over the standard RIFD with all tested images based on the used measures and the compression ratio

Summary

INTRODUCTION

The importance of the digital images and transmitting them along all networks either wired or wireless is increasing dayby-day These images have very huge sizes in general and need to be compressed in order to accelerate transmitting process. The proposed technique can be applied generally on the digital images whether it is colored or gray scale with different bit-depth values (i.e. number of bits to represent the pixel values). It provides good compression ratio and lower distortion values, by taking the best features from the lossy and lossless techniques that has been used.

RELATED WORK

OBJECTIVE

How the Proposed Techniques MDT Does Work?

Subjective Evaluation Experiments

EXPERIMENTS

Objective Evaluation Experiments