Abstract
Objective: This study aims to contribute in developing a compression method that performs both high quality and applicable compression ratio, which is a hard task and requires a lot of sequential experiments since each of the aimed characteristics belong to different group type of image compression techniques lossy and lossless. Therefore, the hybridization between those two types is the convenient solution because it allows the desired results to appear in one technique. Methods/Findings: The researcher proposed reducing the pixel range that represents the original image by a fixed rate, which yields to reducing the repetition and preserving a large amount of the data in this phase before proceeding to the lossy part, in this case, RIFD technique that will affect better reducing the compressed image size due to the previous step. The Calculations of the objective measurements MSE, MAE and PSNR used to assess the effect of the suggested method (RPR) by collecting the results which gained after applying it to different grayscale and colour images. Application: The proposed lossless part does not require complex calculations and the results proved its ability to improve the compression quality for the elected lossy technique without affecting the compression ratio. Comparisons showed significant improvement on grey scale images especially those having 16-bit depth and marginally in RGB images. Keywords: Compression Quality, Hybrid Compression, Objective Metrics, Reducing Pixel Range, Redundancy, RIFD Technique
Highlights
Image processing is a rapidly growing methodology within computer science[1]
This study suggested Reducing Pixel Range (RPR) Compression Method, this method has evolved from a previous methods like (RIFD) that has improved image compression ratio but has not improved image quality, its come to support other study which proposed new algorithm (FMM) which improved image quality and compression ratio, experimental results show that RPR gain better quality and better compression ratio than other methods
Where most lossy techniques focus on increasing the compression ratio and reduce the compression time, this research aimed to find an approach that will enhance the quality of a lossy technique without affecting its important characteristic of the high compression ratio
Summary
Many researches are searching continually to find new compression methods that would overpass old classic methods for compressing images or even other kind of data such as Cosine Transform, Fourier Transform, Huffman and other more. This will require intensive experiments to discover new idea for image compression One of the approaches which is widely studied is combining the two main techniques types intending to increase both quality and compression ratio[3]. This study will discuss a novel loss technique which is RIFD that employed rounding process to reduce the image size and perform good compression ratio and acceptable quality. The researcher will propose an enhancement method that will preserve the same compression ratio but with significant improvement in quality RIFD4
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