Optimizing Digital Image Quality Assessment: Format Selection and Methods

Main Article Content

Kayithi Varshitha
Battina Sneha Sree
Salikuti Varunika Reddy
Semarla Sreeja Reddy
K Venkatesh Sharma


The evaluation of computer-stored digital image quality currently relies on subjective measures based on user preferences. The landscape includes a plethora of diverse file formats with unique features that can either enhance or detract from image quality. Selecting the optimal format is a challenge for both average users and system developers, requiring a comprehensive understanding of available formats, their attributes, implications on image quality, and the specific image data they will handle. This places undue stress on users, potentially leading to unsuitable format choices. Consequently, making an informed initial decision becomes paramount. This study aims to identify prevalent quality assessment methods used in related industries for images stored across a range of file formats, and to propose effective implementation strategies. Drawing upon insights from these methods and delving into popular file formats and compression techniques, I propose practical suggestions on a general level. In a bid to enhance my comprehension of format-related challenges and their impact on image quality, a key aspect of this research involves developing a graphics library. This software component facilitates seamless conversion between numerous popular graphics formats, thereby fortifying the understanding of format issues and compression/storage effects on image quality.

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How to Cite
Kayithi Varshitha, Battina Sneha Sree, Salikuti Varunika Reddy, Semarla Sreeja Reddy, and K Venkatesh Sharma, “Optimizing Digital Image Quality Assessment: Format Selection and Methods”, Int. J. Comput. Eng. Res. Trends, vol. 10, no. 8, pp. 11–19, Aug. 2023.
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