We analyse storage problems of digital images in accordance with image quality and image compression efficiency. Storage problems are relevant for Cloud storage and file hosting services, online file storage providers, social networks, etc. In this paper, an approach is proposed to process a group of images with a JPEG algorithm that all the processed images satisfy the minimum threshold of quality with the automatic selection of the quality factor (QF). The experimental investigation reveals advantages of the compression efficiency of the proposed approach over the traditional JPEG algorithm. The proposed approach enables saving storage spaces while maintaining the desirable image quality.

The article analyses the issues related to detection and contour approximation of road surface defects, in particular, road potholes captured by a smart device camera. The assessment of measurements, obtained after image analysis and real objects, will be disclosed with a view to depict the measurement bias. The difference from all the other methods, mentioned in the literature, is that only 2D images captured by one camera were used in this investigation with a view to identify the contour of road potholes and get its parameterised representation. In practice, according to other authors, the most common approach to obtain a parameterised description of a pothole incorporates not only cameras, but also other various sensors such as accelerometer, global positioning systems, laser, hyperspectral imagery, infrared or ultrasonic sensors. In this article, we present a method that allows recognising a pothole object in terms of its colour, shape, and structure. The method discussed was applied to real world images to detect and outline the road pothole contour. Finally, the evaluation of approximation accuracy by empirical research techniques has been accomplished.

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